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Online task planning method of anti-ship missile based on rolling optimization 认领 引用 被引量：5
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作者 LU Faxing DAI Qiuyang +1 位作者 YANG Guang JIA Zhengrong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期720-731,共12页
Based on the wave attack task planning method in static complex environment and the rolling optimization framework, an online task planning method in dynamic complex environment based on rolling optimization is propos... Based on the wave attack task planning method in static complex environment and the rolling optimization framework, an online task planning method in dynamic complex environment based on rolling optimization is proposed. In the process of online task planning in dynamic complex environment,online task planning is based on event triggering including target information update event, new target addition event, target failure event, weapon failure event, etc., and the methods include defense area reanalysis, parameter space update, and mission re-planning. Simulation is conducted for different events and the result shows that the index value of the attack scenario after re-planning is better than that before re-planning and according to the probability distribution of statistical simulation method, the index value distribution after re-planning is obviously in the region of high index value, and the index value gap before and after re-planning is related to the degree of posture change. 展开更多
关键词 target allocation of anti-ship missile defense area rolling optimization task re-planning
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Multi-Timescale Scheduling Optimization of ALK/PEM Hybrid Electrolyzers System Considering Flexible Hydrogen Demand 认领 引用
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作者 Bowen Wang Zhaoqing Liang +9 位作者 Kai Yang Lei Xing Heng Shao Zhuorui Wu Yixin Liu Li Guo Ning Yang Bing Hu Chengshan Wang Kui Jiao 《Engineering》 SCIE EI CSCD 2026年第5期210-230,共21页
Hydrogen production from renewable energy is a promising solution for clean and efficient hydrogen generation.The hybrid electrolyzers system(HES)consists of alkaline(ALK)and proton exchange membrane(PEM)electrolyzers... Hydrogen production from renewable energy is a promising solution for clean and efficient hydrogen generation.The hybrid electrolyzers system(HES)consists of alkaline(ALK)and proton exchange membrane(PEM)electrolyzers.It balances PEM's economic benefits and ALK's hydrogen production capabilities.To enhance hydrogen production efficiency and ensure the operational stability of HES,this study proposes a novel multi-timescale rolling optimization strategy considering flexible hydrogen demand.A joint wind-photovoltaic power prediction model is used to provide accurate forecast data for scheduling optimization.The operating characteristics of the electrolyzers,including various operating states,start-stop behaviors,load variations,and hydrogen production features of ALK and PEM,are modeled in detail.Multi-timescale modeling is employed for rolling optimization to obtain the optimal scheduling solution.Finally,the validity of the proposed method is verified under varying weather types in Macheng,Hubei,China.The results show that HES significantly improves hydrogen production capacity and economics compared to ALK-only production,with a 25%increase in net revenue under extreme weather.Flexible hydrogen load demand response synchronizes fluctuations on both the supply and demand sides,multiplying grid trading benefits.The multi-timescale scheduling strategy enabled each electrolyzer to achieve over 96%execution of the day-ahead schedule across various weather conditions.The system's economy achieves 98%of the ideal maximum benefit and 80%under extreme weather.This demonstrates that the proposed scheme holds promise for providing effective solutions for the optimal design and scheduling of renewable energy hydrogen production systems. 展开更多
关键词 Hydrogen production from renewableenergy Hybrid electrolyzers system Multi-timescale rolling optimization Flexible hydrogen load demand Joint wind-photovoltaic power prediction
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A data-driven rolling optimization method for trajectory tracking error prediction of CNC machine tools 认领 引用
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作者 Yinxin GUAN Jixiang YANG +1 位作者 Shizhong TAN Han DING 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2025年第1期270-285,共16页
The dynamic performance of the feed-drive system in CNC machine tools directly influences the accuracy of machined parts.To enhance the motion control performance of CNC machine tools,a high-precision model of the fee... The dynamic performance of the feed-drive system in CNC machine tools directly influences the accuracy of machined parts.To enhance the motion control performance of CNC machine tools,a high-precision model of the feed-drive system is critical.However,current modeling methods for feed-drive systems seldom consider time-varying factors such as loads,wear,and lubrication.As a result,the model accuracy degrades when the system characteristics are affected by these time-varying factors.In this paper,a rolling optimization method with partial weights frozen is developed to realize quick iterative learning of a data-driven model for a feed drive system with time-varying characteristics using a small amount of data.First,the long short-term memory fully connected(LSTM-FC)network is built and divided into feature extraction and output fitting parts based on their functions.Then,a weight freezing-based rolling optimization method is applied.The weights in the feature extraction part are frozen,which preserves the learned common knowledge and patterns by solidifying the way that high-dimensional features are extracted from the input.By adjusting the weights in the output fitting part,the extracted highdimensional features are remapped to the new data distribution changed by time-varying factors.Finally,the performance of the developed rolling optimization method is confirmed by experiments.The results show that the proposed rolling optimization method reduces the maximum prediction errors by 49.5%and the total training time by 96.3%compared with existing methods,which demonstrates that the proposed method can restore model accuracy when the system characteristics change due to timevarying factors,and significantly accelerate the optimization process by rolling optimization. 展开更多
关键词 rolling optimization feed-drive system data-driven time-varying machine tool
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Multi-agent-based Rolling Optimization Method for Restoration Scheduling of Distribution Systems with Distributed Generation 认领 引用 被引量：8
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作者 Donghan Feng Fan Wu +3 位作者 Yun Zhou Usama Rahman Xiaojin Zhao Chen Fang 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2020年第4期737-749,共13页
Resilience against major disasters is the most essential characteristic of future electrical distribution systems(EDSs).A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in thi... Resilience against major disasters is the most essential characteristic of future electrical distribution systems(EDSs).A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper.When a blackout occurs,considering the risk of losing the centralized authority due to the failure of the common core communication network,the available agents after disasters or cyber-attacks identify the communication-connected parts(CCPs)in the EDS with distributed communication.A multi-time interval optimization model is formulated and solved by the agents for the restoration scheduling of a CCP.A rolling optimization process for the entire EDS restoration is proposed.During the schedulingescheduling in the rolling process,CCPs in EDS are re-identified and the restoration schedules for CCPs are updated.Through decentralized decision-making and rolling optimization,EDS restoration scheduling can automatically start and periodically update itself,providing an effective solution for EDS restoration scheduling in a blackout event.A modified IEEE123-bus EDS is utilized to demonstrate the effectiveness of the proposed method. 展开更多
关键词 Electrical distribution system restoration scheduling multi-agent system rolling optimization
Robust multi-objective optimization of rolling schedule for tandem cold rolling based on evolutionary direction differential evolution algorithm 认领 引用 被引量：6
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作者 Yong Li Lei Fang 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2017年第8期795-802,共8页
According to the actual requirements,profile and rolling energy consumption are selected as objective functions of rolling schedule optimization for tandem cold rolling.Because of mechanical wear,roll diameter has som... According to the actual requirements,profile and rolling energy consumption are selected as objective functions of rolling schedule optimization for tandem cold rolling.Because of mechanical wear,roll diameter has some uncertainty during the rolling process,ignoring which will cause poor robustness of rolling schedule.In order to solve this problem,a robust multi-objective optimization model of rolling schedule for tandem cold rolling was established.A differential evolution algorithm based on the evolutionary direction was proposed.The algorithm calculated the horizontal angle of the vector,which was used to choose mutation vector.The chosen vector contained converging direction and it changed the random mutation operation in differential evolution algorithm.Efficiency of the proposed algorithm was verified by two benchmarks.Meanwhile,in order to ensure that delivery thicknesses have descending order like actual rolling schedule during evolution,a modified Latin Hypercube Sampling process was proposed.Finally,the proposed algorithm was applied to the model above.Results showed that profile was improved and rolling energy consumption was reduced compared with the actual rolling schedule.Meanwhile,robustness of solutions was ensured. 展开更多
关键词 Robust multi-objective optimization Rolling schedule Evolutionary direction Horizontal angle Mutation vector
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Multi-Timescale Coordinated Optimal Dispatch of Active Distribution Networks Incorporating Thermal Storage Electric Heating Clusters 认领 引用
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作者 Song Zhang Yang Yu +1 位作者 Shuguang Li Xue Li 《Energy Engineering》 EI 2026年第3期459-480,共22页
Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energ... Thermal storage electric heating(TSEH),as a prevalent variable load resource,offers significant potential for enhancing system flexibility when aggregated into a cluster.To address the uncertainties of renewable energy and load forecasting in active distribution networks(ADN),this paper proposes a multi-timescale coordinated optimal dispatch strategy that incorporates TSEH clusters.It utilizes the thermal storage characteristics and short-term regulation capabilities of TSEH,along with the rapid and gradual response characteristics of resources in active distribution grids,to develop a coordinated optimization dispatch mechanism for day-ahead,intraday,and real-time stages.It provides a coordinated optimized dispatch technique across several timescales for active distribution grids,taking into account the integration of TSEH clusters.The proposed method is validated on a modified IEEE 33-node system.Simulation results demonstrate that the participation of TSEH in collaborative optimization significantly reduces the total system operating cost by 8.71%compared to the scenario without TSEH.This cost reduction is attributed to a 10.84%decrease in interaction costs with the main grid and a 47.41%reduction in network loss costs,validating effective peak shaving and valley filling.The multi-timescale framework further enhances economic efficiency,with overall operating costs progressively decreasing by 3.91%(intraday)and 4.59%(real-time),and interaction costs further reduced by 5.34%and 9.25%,respectively.Moreover,the approach enhances system stability by effectively suppressing node voltage fluctuations and ensuring all voltages remain within safe operating limits during real-time operation.Therefore,the proposed approach achieves rational coordination of diverse resources,significantly improving the economic efficiency and stability of ADNs. 展开更多
关键词 Active distribution network thermal storage electric heating distributed energy resources rolling optimization multiple time scales
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Multi-stage Rolling Optimization Model of Project Portfolio Configuration Under Phased Strategy Scenarios 认领 引用 被引量：2
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作者 LUO Shu-juan BAI Si-jun LI Sui-ke 《International Journal of Plant Engineering and Management》 2015年第2期65-77,共13页
The paper proposes a projected management method to organize,select and rolling configure the projects for multiple strategic stages. We illustrate the definitions of project portfolio rolling benefits,gain of resourc... The paper proposes a projected management method to organize,select and rolling configure the projects for multiple strategic stages. We illustrate the definitions of project portfolio rolling benefits,gain of resources and risk accumulation according to the correspondence between project life cycle and phased strategy scenarios. A heuristic-genetic algorithm has been designed to optimize the configuration model at the same time.The rolling configuration model and optimization algorithm are proved effectively by testing the case study of Y enterprise through the Matlab simulation. 展开更多
关键词 project portfolios rolling configuration heuristic-genetic algorithm multi-stage optimization
Trajectory online optimization for unmanned combat aerial vehicle using combined strategy 认领 引用 被引量：2
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作者 Kangsheng Dong Hanqiao Huang +1 位作者 Changqiang Huang Zhuoran Zhang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2017年第5期963-970,共8页
This paper presents a combined strategy to solve the trajectory online optimization problem for unmanned combat aerial vehicle (UCAV). Firstly, as trajectory directly optimizing is quite time costing, an online trajec... This paper presents a combined strategy to solve the trajectory online optimization problem for unmanned combat aerial vehicle (UCAV). Firstly, as trajectory directly optimizing is quite time costing, an online trajectory functional representation method is proposed. Considering the practical requirement of online trajectory, the 4-order polynomial function is used to represent the trajectory, and which can be determined by two independent parameters with the trajectory terminal conditions; thus, the trajectory online optimization problem is converted into the optimization of the two parameters, which largely lowers the complexity of the optimization problem. Furthermore, the scopes of the two parameters have been assessed into small ranges using the golden section ratio method. Secondly, a multi-population rotation strategy differential evolution approach (MPRDE) is designed to optimize the two parameters; in which, 'current-to-best/1/bin', 'current-to-rand/1/bin' and 'rand/2/bin' strategies with fixed parameter settings are designed, these strategies are rotationally used by three subpopulations. Thirdly, the rolling optimization method is applied to model the online trajectory optimization process. Finally, simulation results demonstrate the efficiency and real-time calculation capability of the designed combined strategy for UCAV trajectory online optimizing under dynamic and complicated environments. 展开更多
关键词 unmanned combat aerial vehicle (UCAV) trajectory online optimization functional representation parameter optimization rolling optimization differential evolution
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Emergency Energy Management of Microgrid in Industrial Park Basedon Robust Optimization 认领 引用
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作者 Haoliang Yang Yonggang Dong Zhifang Yang 《Energy Engineering》 EI 2023年第12期2917-2931,共15页
Reducing the impact of power outages and maintaining the power supply duration must be considered in implementing emergency energy dispatching in micro-networks.This paper studies a new emergency energy treatment meth... Reducing the impact of power outages and maintaining the power supply duration must be considered in implementing emergency energy dispatching in micro-networks.This paper studies a new emergency energy treatment method based on the robust optimal method and the industrial park micro-network with the optical energy storage system.After controlling the load input,a control strategy of adjusting and removing is proposed.Rolling optimal theory is applied to emergency energy scheduling based on a robust optimal mathematical model.A weighting factor is introduced into the optimal model to balance the importance of reducing and retaining the power supply.Uncertainty is designed to adjust the effect of uncertainty on the problem.The example shows that this method can flexibly set the weight coefficient and uncertainty value according to the actual situation so that the input of the control load can be optimized. 展开更多
关键词 Robust optimal weighting coefficient emergency energy sources rolling optimization microgrid in an industrial park
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Optimization and perfection of the roughing model for ferritic SUS430 认领 引用
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作者 MA Wenbo YUAN Min 《Baosteel Technical Research》 EI CAS 2010年第4期54-58,共5页
Based on the characteristics of ferritic SUS430 heating and deformation,and combined with the features of the 1780 mm hot-rolling mill,a roughing model was introduced in two aspects:optimizing the rough rolling passes... Based on the characteristics of ferritic SUS430 heating and deformation,and combined with the features of the 1780 mm hot-rolling mill,a roughing model was introduced in two aspects:optimizing the rough rolling passes and improving the width control precision.Through reducing the rough rolling passes,the rough rolling time can be shortened,the precision rolling startup temperature can be raised and the yield of the hot-rolled products can be increased.Moreover,on the premise that the slab width fluctuation was great,the precision of the width control can be improved through optimizing the parameters of the hot-rolling width control model.The result shows that the optimization and perfection of the original rolling process of the stainless steel 430 series further improved its capacity and product quality. 展开更多
关键词 ferritic stainless steel rough rolling model rolling pass optimization width control precision
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Three-stage Optimal Control Approach of DC Microgrid Considering EVs Interval Prediction and BESS Rolling Power Limits 认领 引用
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作者 Qianlin Zhao Jierui Xu +2 位作者 Jianwei Yang Kai Liao Zhengyou He 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2026年第3期1469-1479,共11页
In order to prolong battery energy storage system(BESS)service life in microgrids,this paper proposes a threestage optimal control approach to reduce charging/discharging frequency of BESS caused by large-scale renewa... In order to prolong battery energy storage system(BESS)service life in microgrids,this paper proposes a threestage optimal control approach to reduce charging/discharging frequency of BESS caused by large-scale renewable energy storages(RESs)integrated into microgrids.The principle of the proposed approach is to realize coordination scheduling of electric vehicles(EVs)and BESS with considering EVs interval prediction and BESS rolling power limits.In the first stage,based on prediction of photovoltaics and wind turbine outputs,dayahead electric price and basic loads are scheduled to minimize microgrid operation costs.In the second stage,interval prediction model of EV cluster load demands is developed to deal with mobility and uncertainty of EVs,and then hourly rolling optimal power limits of BESS are calculated to minimize BESS aging loss.Finally,in the third stage,the BESS control mode is adjusted by tracking real-time microgrid current and recalculating BESS power limits when current exceeds withstand current of inverter,which compensates for second-stage scheduling decisions.Simulation results demonstrate superior performance of the proposed three-stage optimal control approach in prolonging service life of BESS and reducing microgrid total operation cost. 展开更多
关键词 Battery energy storage system coordination scheduling electric vehicles interval prediction rolling optimal
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Field-weakening control system of induction motor based on model prediction 认领 引用 被引量：1
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作者 MIAO Zhongcui LI Dongliang +2 位作者 WANG Zhihao YU Xianfei ZHANG Wenbin 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第3期314-321,共8页
Considering the actual demand for high-speed operation of induction motors in industrial occasions,the characteristics of induction motors in different regions are analyzed,especially the field weakening characteristi... Considering the actual demand for high-speed operation of induction motors in industrial occasions,the characteristics of induction motors in different regions are analyzed,especially the field weakening characteristics of induction motors in high-speed operation are studied.A field weakening control method of induction motor based on model predictive control(MPC)algorithm is proposed,which can predict the future state of the controlled object,and then obtain the optimal control variables by colling optimization.The simulation results show that the field-weakening control method based on MPC algorithm has faster response speed,stronger robustness and better control performance than the traditional control methods. 展开更多
关键词 induction motor model predictive control(MPC) field-weakening control rolling optimization
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Discrete sliding mode prediction control of uncertain switched systems 认领 引用 被引量：1
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作者 He Zhaolan Wang Mao Liu Shuhuan 《Journal of Systems Engineering and Electronics》 SCIE EI 2009年第5期1065-1071,共7页
The robust stabilization problem for a class of uncertain discrete-time switched systems is presented. A predictive sliding mode control strategy is proposed, and a discrete-time reaching law is improved. By applying ... The robust stabilization problem for a class of uncertain discrete-time switched systems is presented. A predictive sliding mode control strategy is proposed, and a discrete-time reaching law is improved. By applying a predictive sliding surface and a reference trajectory, combining with the state feedback correction and rolling optimization method in the predictive control strategy, a predictive sliding mode controller is synthesized, which guarantees the asymptotic stability for the closed-loop systems. The designed control strategy has stronger robustness and chattering reduction property to conquer with the system uncertainties. In addition, a unique nonswitched sliding surface is designed. The reason is to avoid the repetitive jump of the trajectories of the state components of the closed-loop system between sliding surfaces because it might cause the possible instability. Finally, a numerical example is given to illustrate the effectiveness of the proposed theory. 展开更多
关键词 switched system sliding mode control predictive control rolling optimization.
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Peak Shaving Strategy of Concentrating Solar Power Generation Based on Multi-Time-Scale and Considering Demand Response 认领 引用
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作者 Lei Fang Haiying Dong +1 位作者 Xiaofei Zhen Shuaibing Li 《Energy Engineering》 EI 2024年第3期661-679,共19页
According to the multi-time-scale characteristics of power generation and demand-side response(DR)resources,as well as the improvement of prediction accuracy along with the approaching operating point,a rolling peak s... According to the multi-time-scale characteristics of power generation and demand-side response(DR)resources,as well as the improvement of prediction accuracy along with the approaching operating point,a rolling peak shaving optimization model consisting of three different time scales has been proposed.The proposed peak shaving optimization model considers not only the generation resources of two different response speeds but also the two different DR resources and determines each unit combination,generation power,and demand response strategy on different time scales so as to participate in the peaking of the power system by taking full advantage of the fast response characteristics of the concentrating solar power(CSP).At the same time,in order to improve the accuracy of the scheduling results,the combination of the day-ahead peak shaving phase with scenario-based stochastic programming can further reduce the influence of wind power prediction errors on scheduling results.The testing results have shown that by optimizing the allocation of scheduling resources in each phase,it can effectively reduce the number of starts and stops of thermal power units and improve the economic efficiency of system operation.The spinning reserve capacity is reduced,and the effectiveness of the peak shaving strategy is verified. 展开更多
关键词 Peak shaving strategy concentrating solar power multi-time-scale demand-side response rolling optimization
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Two-Stage Optimal Scheduling of Community Integrated Energy System 认领 引用 被引量：2
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作者 Ming Li Rifucairen Fu +4 位作者 Tuerhong Yaxiaer Yunping Zheng Abiao Huang Ronghui Liu Shunfu Lin 《Energy Engineering》 EI 2024年第2期405-424,共20页
From the perspective of a community energy operator,a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable loads.The day-ahead scheduling an... From the perspective of a community energy operator,a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable loads.The day-ahead scheduling analyzes whether various controllable loads participate in the optimization and investigates the impact of their responses on the operating economy of the community integrated energy system(IES)before and after;the intra-day scheduling proposes a two-stage rolling optimization model based on the day-ahead scheduling scheme,taking into account the fluctuation of wind turbine output and load within a short period of time and according to the different response rates of heat and cooling power,and solves the adjusted output of each controllable device.The simulation results show that the optimal scheduling of controllable loads effectively reduces the comprehensive operating costs of community IES;the two-stage optimal scheduling model can meet the energy demand of customers while effectively and timely suppressing the random fluctuations on both sides of the source and load during the intra-day stage,realizing the economic and smooth operation of IES. 展开更多
关键词 Integrated energy system two-stage optimal scheduling controllable loads rolling optimization
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Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator 认领 引用 被引量：5
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作者 Fengji LUO Gianluca RANZI Zhaoyang DONG 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2017年第6期947-958,共12页
Thermostatically controlled loads(TCLs)have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy.The two-way communication infrastructure of smart grids pr... Thermostatically controlled loads(TCLs)have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy.The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets.This paper focuses on the realtime scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study.An International Organization of Standardization(ISO)thermal comfort model is employed to well control the occupants’thermal comfort,while a rolling horizon optimization(RHO)strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties.The simulations are performed by means of a metaheuristic optimization algorithm,i.e.,natural aggregation algorithm(NAA).A series of simulations are conducted to validate the effectiveness of proposed method. 展开更多
关键词 Thermostatically controlled load Demand side management Rolling horizon optimization Thermal comfort model Demand response
Research on the Control Strategy of Micro Wind-Hydrogen Coupled System Based on Wind Power Prediction and Hydrogen Storage System Charging/Discharging Regulation 认领 引用 被引量：1
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作者 Yuanjun Dai Haonan Li Baohua Li 《Energy Engineering》 EI 2024年第6期1607-1636,共30页
This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of w... This paper addresses the micro wind-hydrogen coupled system,aiming to improve the power tracking capability of micro wind farms,the regulation capability of hydrogen storage systems,and to mitigate the volatility of wind power generation.A predictive control strategy for the micro wind-hydrogen coupled system is proposed based on the ultra-short-term wind power prediction,the hydrogen storage state division interval,and the daily scheduled output of wind power generation.The control strategy maximizes the power tracking capability,the regulation capability of the hydrogen storage system,and the fluctuation of the joint output of the wind-hydrogen coupled system as the objective functions,and adaptively optimizes the control coefficients of the hydrogen storage interval and the output parameters of the system by the combined sigmoid function and particle swarm algorithm(sigmoid-PSO).Compared with the real-time control strategy,the proposed predictive control strategy can significantly improve the output tracking capability of the wind-hydrogen coupling system,minimize the gap between the actual output and the predicted output,significantly enhance the regulation capability of the hydrogen storage system,and mitigate the power output fluctuation of the wind-hydrogen integrated system,which has a broad practical application prospect. 展开更多
关键词 Micro wind-hydrogen coupling system ultra-short-term wind power prediction sigmoid-PSO algorithm adaptive roll optimization predictive control strategy
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The Optimizing Method of Equipment Renewal Opportunity Based on Dynamic Sunk Cost 认领 引用
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作者 Guojie Zhao Weiwei Zhao 《Chinese Business Review》 2005年第10期41-44,70,共4页
This article brings forward a new conception of dynamic sunk cost, and then constructs a systematic model that could be used in analyzing equipment renewal opportunity. This model will do much help in solving problems... This article brings forward a new conception of dynamic sunk cost, and then constructs a systematic model that could be used in analyzing equipment renewal opportunity. This model will do much help in solving problems refer to optimizing equipment renewal opportunity in right way. 展开更多
关键词 dynamic sunk cost optimize renewal opportunity rolling analysis
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The Research and Application of Prediction Control in Multi-variable Control Process 认领 引用
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作者 WEI Shuangying 《武汉理工大学学报》 EI CAS 北大核心 2006年第S3期850-857,共8页
The modern industrial control objects become more and more complicated,and higher control quality is required,so a series of new control strategies appear,applied,modified and develop quickly.This paper researches a n... The modern industrial control objects become more and more complicated,and higher control quality is required,so a series of new control strategies appear,applied,modified and develop quickly.This paper researches a new control strategy-prediction control-and its application in Multi-Variable Control Process.The research result is worthy for automatic control in pro-cess industry. 展开更多
关键词 prediction control rolled optimization feedback calibration multi-variable control system identify system control
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Stochastic coordinated operation of wind and battery energy storage system considering battery degradation 认领 引用 被引量：11
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作者 Ying WANG Zhi ZHOU +2 位作者 Audun BOTTERUD Kaifeng ZHANG Qia DING 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2016年第4期581-592,共12页
Grid-scale battery energy storage systems(BESSs)are promising to solve multiple problems for future power systems.Due to the limited lifespan and high cost of BESS,there is a cost-benefit trade-off between battery eff... Grid-scale battery energy storage systems(BESSs)are promising to solve multiple problems for future power systems.Due to the limited lifespan and high cost of BESS,there is a cost-benefit trade-off between battery effort and operational performance.Thus,we develop a battery degradation model to accurately represent the battery degradation and related cost during battery operation and cycling.A linearization method is proposed to transform the developed battery degradation model into the mixed integer linear programming(MILP)optimization problems.The battery degradation model is incorporated with a hybrid deterministic/stochastic look-ahead rolling optimization model of windBESS bidding and operation in the real-time electricity market.Simulation results show that the developed battery degradation model is able to effectively help to extend the battery cycle life and make more profits for wind-BESS.Moreover,the proposed rolling look-ahead operational optimization strategy can utilize the updated wind power forecast,thereby also increase the wind-BESS profit. 展开更多
关键词 Wind power Battery energy storage system(BESS) Battery degradation Stochastic programming Rolling optimization
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