期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到547篇文章
< 1 2 … 28 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
An Intelligent Algorithm for Dynamic Scheduling of Parallel Machines Considering Multi-Task Collaboration in Order Processing 认领 引用
1
作者 Pei Xie Xiaoying Yang +2 位作者 Bo Li Zhijie Pei Fenghai Yang 《Computers, Materials & Continua》 SCIE EI 2026年第9期813-836,共24页
To address the critical requirements for collaborative delivery of multiple tasks within each order in personalized mass customization,this paper develops a dynamic parallel machine scheduling model that accounts for ... To address the critical requirements for collaborative delivery of multiple tasks within each order in personalized mass customization,this paper develops a dynamic parallel machine scheduling model that accounts for stochastic machine failures and order priorities,thereby more accurately reflecting the uncertainties and complexities of real-world production environments.A dual-objective optimization framework is adopted to minimize both the makespan(maximum task completion time)and the variance of task completion times,aiming to improve the coordination and reliability of intra-order task delivery.An adaptive weighted reward function is designed to balance overall scheduling efficiency with consistency among tasks during reinforcement learning training.To tackle the challenges posed by partially observable Markov decision processes(POMDP)induced by unexpected machine breakdowns,a Gated Recurrent Unit(GRU)-embedded Proximal Policy Optimization(PPO)intelligent scheduling algorithm is proposed.The algorithm incorporates an Action Masking mechanism to prevent invalid scheduling actions,while the GRU module captures historical state sequences to enhance perception of dynamic production environments.Extensive validation on benchmark datasets,along with comparisons against traditional heuristic algorithms,metaheuristic algorithms,and other deep reinforcement learning methods,demonstrates that the proposed approach achieves robust convergence,high resilience,and strong generalization across both static and dynamic scenarios,significantly improving coordinated delivery performance of order tasks.Overall,the proposed method not only provides an efficient and scalable real-time decision-making solution for Parallel Machine Scheduling Problems(PMSP)but also offers new theoretical and practical insights for optimizing complex production scheduling in intelligent manufacturing systems. 展开更多
关键词 Parallel machine scheduling problems dynamic scheduling gated recurrent unit proximal policy optimization coordinated delivery
暂未订购 下载PDF
Optimization and Scheduling of Green Power System Consumption Based on Multi-Device Coordination and Multi-Objective Optimization 认领 引用
2
作者 Liang Tang Hongwei Wang +2 位作者 Xinyuan Zhu Jiying Liu Kaiyue Li 《Energy Engineering》 EI 2025年第6期2257-2289,共33页
The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment,hindering the efficient utilization of renewable energy and the low-carbon development of... The intermittency and volatility of wind and photovoltaic power generation exacerbate issues such as wind and solar curtailment,hindering the efficient utilization of renewable energy and the low-carbon development of energy systems.To enhance the consumption capacity of green power,the green power system consumption optimization scheduling model(GPS-COSM)is proposed,which comprehensively integrates green power system,electric boiler,combined heat and power unit,thermal energy storage,and electrical energy storage.The optimization objectives are to minimize operating cost,minimize carbon emission,and maximize the consumption of wind and solar curtailment.The multi-objective particle swarm optimization algorithm is employed to solve the model,and a fuzzy membership function is introduced to evaluate the satisfaction level of the Pareto optimal solution set,thereby selecting the optimal compromise solution to achieve a dynamic balance among economic efficiency,environmental friendliness,and energy utilization efficiency.Three typical operating modes are designed for comparative analysis.The results demonstrate that the mode involving the coordinated operation of electric boiler,thermal energy storage,and electrical energy storage performs the best in terms of economic efficiency,environmental friendliness,and renewable energy utilization efficiency,achieving the wind and solar curtailment consumption rate of 99.58%.The application of electric boiler significantly enhances the direct accommodation capacity of the green power system.Thermal energy storage optimizes intertemporal regulation,while electrical energy storage strengthens the system’s dynamic regulation capability.The coordinated optimization of multiple devices significantly reduces reliance on fossil fuels. 展开更多
关键词 Multi-objective optimization scheduling model multi-objective particle swarm optimization algorithm consumption capacity of green power wind and solar curtailment coordinated optimization of multiple devices
暂未订购 下载PDF
Coordinated scheduling model for intermodal transit hubs based on GI/M^K/1 queuing system 认领 引用
3
作者 贾洪飞 曹雄赳 杨丽丽 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第8期3247-3256,共10页
Coordinated scheduling of multimode plays a pivotal role in the rapid gathering and dissipating of passengers in transport hubs. Based on the survey data, the whole-day reaching time distribution at transfer points of... Coordinated scheduling of multimode plays a pivotal role in the rapid gathering and dissipating of passengers in transport hubs. Based on the survey data, the whole-day reaching time distribution at transfer points of passengers from the dominant mode to the connecting mode was achieved. A GI/M K/1 bulk service queuing system was constituted by putting the passengers' reaching time distribution as the input and the connecting mode as the service institution. Through queuing theory, the relationship between average queuing length under steady-state and headway of the connecting mode was achieved. By putting the minimum total cost of system as optimization objective, the headway as decision variable, a coordinated scheduling model of multimode in intermodal transit hubs was established. At last, a dynamic scheduling strategy was generated to cope with the unexpected changes of the dominant mode. The instance analysis indicates that this model can significantly reduce passengers' queuing time by approximately 17% with no apparently increase in departure frequency, which provides a useful solution for the coordinated scheduling of different transport modes in hubs. 展开更多
关键词 traffic engineering coordinated scheduling queuing theory intermodal transit hub headway
暂未订购 下载PDF
Coordinated Scheduling of Two-Agent Production and Transportation Based on Non-Cooperative Game 认领 引用
4
作者 Ke Xu Peng Liu Hua Gong 《Intelligent Automation & Soft Computing》 SCIE 2023年第6期3279-3294,共16页
A two-agent production and transportation coordinated scheduling problem in a single-machine environment is suggested to compete for one machine from different downstream production links or various consumers.The jobs... A two-agent production and transportation coordinated scheduling problem in a single-machine environment is suggested to compete for one machine from different downstream production links or various consumers.The jobs of two agents compete for the processing position on a machine,and after the pro-cessed,they compete for the transport position on a transport vehicle to be trans-ported to two agents.The two agents have different objective functions.The objective function of the first agent is the sum of the makespan and the total trans-portation time,whereas the objective function of the second agent is the sum of the total completion time and the total transportation time.Given the competition between two agents for machine resources and transportation resources,a non-cooperative game model with agents as game players is established.The job pro-cessing position and transportation position corresponding to the two agents are mapped as strategies,and the corresponding objective function is the utility func-tion.To solve the game model,an approximate Nash equilibrium solution algo-rithm based on an improved genetic algorithm(NE-IGA)is proposed.The genetic operation based on processing sequence and transportation sequence,as well as the fitness function based on Nash equilibrium definition,are designed based on the features of the two-agent production and transportation coordination scheduling problem.The effectiveness of the proposed algorithm is demonstrated through numerical experiments of various sizes.When compared to heuristic rules such as the Longest Processing Time first(LPT)and the Shortest Processing Time first(SPT),the objective function values of the two agents are reduced by 4.3%and 2.6% on average. 展开更多
关键词 Coordinated scheduling two-agent production and transportation non-cooperative game genetic algorithm
暂未订购 下载PDF
Coordinate scheduling approach for EDS observation tasks and data transmission jobs 认领 引用 被引量：10
5
作者 Hao Chen Jiangjiang Wu +2 位作者 Wenyuan Shi Jun Li Zhinong Zhong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2016年第4期822-835,共14页
Electromagnetic detection satellite（EDS） is a type of Earth observation satellite（EOS）. Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observ... Electromagnetic detection satellite（EDS） is a type of Earth observation satellite（EOS）. Satellites observation and data down-link scheduling plays a significant role in improving the efficiency of satellite observation systems. However, the current works mainly focus on the scheduling of imaging satellites, little work focuses on the scheduling of EDSes for its specific requirements.And current works mainly schedule satellite resources and data down-link resources separately, not considering them in a globally optimal perspective. The EDSes and data down-link resources are scheduled in an integrated process and the scheduling result is searched globally. Considering the specific constraints of EDS, a coordinate scheduling model for EDS observation tasks and data transmission jobs is established and an algorithm based on the genetic algorithm is proposed. Furthermore, the convergence of our algorithm is proved. To deal with some specific constraints, a solution repairing algorithm of polynomial computing time is designed. Finally, some experiments are conducted to validate the correctness and practicability of our scheduling algorithms. 展开更多
关键词 electromagnetic detection satellites scheduling satellites and ground stations coordinate scheduling constraint handling solution repairing method genetic algorithm
暂未订购 下载PDF
A Dynamic Job Shop Scheduling Method Based on Ant Colony Coordination System 认领 引用 被引量：1
6
作者 朱琼 吴立辉 张洁 《Journal of Donghua University(English Edition)》 EI CAS 2009年第1期1-4,共4页
Due to the stubborn nature of dynamic job shop scheduling problem,a novel ant colony coordination mechanism is proposed in this paper to search for an optimal schedule in dynamic environment.In ant colony coordination... Due to the stubborn nature of dynamic job shop scheduling problem,a novel ant colony coordination mechanism is proposed in this paper to search for an optimal schedule in dynamic environment.In ant colony coordination mechanism,the dynamic job shop is composed of several autonomous ants.These ants coordinate with each other by simulating the ant foraging behavior of spreading pheromone on the trails,by which they can make information available globally,and further more guide ants make optimal decisions.The proposed mechanism is tested by several instances and the results confirm the validity of it. 展开更多
关键词 ant colony behavior coordination mechanism dynamic job shop scheduling
暂未订购 下载PDF
Real-time online rescheduling for multiple agile satellites with emergent tasks 认领 引用 被引量：6
7
作者 WEN Jun LIU Xiaolu HE Lei 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2021年第6期1407-1420,共14页
The emergent task is a kind of uncertain event that satellite systems often encounter in the application process.In this paper,the multi-satellite distributed coordinating and scheduling problem considering emergent t... The emergent task is a kind of uncertain event that satellite systems often encounter in the application process.In this paper,the multi-satellite distributed coordinating and scheduling problem considering emergent tasks is studied.Due to the limitation of onboard computational resources and time,common online onboard rescheduling methods for such problems usually adopt simple greedy methods,sacrificing the solution quality to deliver timely solutions.To better solve the problem,a new multi-satellite onboard scheduling and coordinating framework based on multi-solution integration is proposed.This method uses high computational power on the ground and generates multiple solutions,changing the complex onboard rescheduling problem to a solution selection problem.With this method,it is possible that little time is used to generate a solution that is as good as the solutions on the ground.We further propose several multi-satellite coordination methods based on the multi-agent Markov decision process(MMDP)and mixed-integer programming(MIP).These methods enable the satellite to make independent decisions and produce high-quality solutions.Compared with the traditional centralized scheduling method,the proposed distributed method reduces the cost of satellite communication and increases the response speed for emergent tasks.Extensive experiments show that the proposed multi-solution integration framework and the distributed coordinating strategies are efficient and effective for onboard scheduling considering emergent tasks. 展开更多
关键词 agile satellite scheduling emergent task onboard rescheduling distributed coordinating multi-solution integration
暂未订购 下载PDF
Multi-time-scale Optimal Scheduling of Integrated Energy System with Electric-thermal-hydrogen Hybrid Energy Storage Under Wind and Solar Uncertainties 认领 引用 被引量：6
8
作者 Zhe Chen Zhihao Li +2 位作者 Da Lin Changjun Xie Zhewei Wang 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2025年第3期904-914,共11页
Hybrid energy storage is considered as an effective means to improve the economic and environmental performance of integrated energy systems(IESs).Although the optimal scheduling of IES has been widely studied,few stu... Hybrid energy storage is considered as an effective means to improve the economic and environmental performance of integrated energy systems(IESs).Although the optimal scheduling of IES has been widely studied,few studies have taken into account the property that the uncertainty of the forecasting error decreases with the shortening of the forecasting time scale.Combined with hybrid energy storage,the comprehensive use of various uncertainty optimization methods under different time scales will be promising.This paper proposes a multi-time-scale optimal scheduling method for an IES with hybrid energy storage under wind and solar uncertainties.Firstly,the proposed system framework of an IES including electric-thermal-hydrogen hybrid energy storage is established.Then,an hour-level robust optimization based on budget uncertainty set is performed for the day-ahead stage.On this basis,a scenario-based stochastic optimization is carried out for intra-day and real-time stages with time intervals of 15 min and 5 min,respectively.The results show that①the proposed method improves the economic benefits,and the intra-day and real-time scheduling costs are reduced,respectively;②by adjusting the uncertainty budget in the model,a flexible balance between economic efficiency and robustness in day-ahead scheduling can be achieved;③reasonable design of the capacity of electric-thermal-hydrogen hybrid energy storage can significantly reduce the electricity curtailment rate and carbon emissions,thus reducing the cost of system scheduling. 展开更多
关键词 Integrated energy system(IES) hybrid energy storage multi-time-scale optimal scheduling robust optimization stochastic optimization uncertainty wind power solar power
Coordinated Generation Scheduling Considering Peak Regulation Cost Allocation and Compensation Distribution in Power Systems 认领 引用
9
作者 Yida Yang Hongjun Gao +3 位作者 Yingmeng Xiang Minghao Guo Jiye Wang Junyong Liu 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2025年第6期1921-1932,共12页
As the share of renewable generations(RGs)in power systems grows,the demand for peak regulation has increased,leading to higher associated costs.In this paper,we propose a mechanism for allocating peak regulation cost... As the share of renewable generations(RGs)in power systems grows,the demand for peak regulation has increased,leading to higher associated costs.In this paper,we propose a mechanism for allocating peak regulation cost among RGs and distributing compensation among peak regulation resources(PRRs).This mechanism is integrated into a coordinated generation scheduling model to enhance the economic efficiency of independent system operators(ISOs)and incentivize PRRs.First,we propose a model for peak regulation cost of diverse PRRs.Next,we develop a method for constructing an RG output curve that facilitates peak regulation.The waveform difference between this constructed curve and the RG forecasted output curve is then calculated.In addition,we create a mechanism for peak regulation cost allocation and compensation distribution that incorporates the waveform difference,the peak regulation contribution of PRRs,and participant satisfaction as key indicators.We then establish a coordinated generation scheduling model using this mechanism,which is solved through the column-and-cut generation algorithm and rolling optimization.Finally,we conduct case studies based on an improved IEEE 30-bus test system and perform several comparative analyses to validate the effectiveness of the proposed mechanism and coordinated generation scheduling model. 展开更多
关键词 Peak regulation cost allocation renewable generation compensation distribution peak regulation resource coordinated generation scheduling
Coordinated Planning Transmission Tasks in Heterogeneous Space Networks:A Semi-Distributed Approach 认领 引用 被引量：1
10
作者 Runzi Liu Weihua Wu +3 位作者 Zhongyuan Zhao Xu Ding Di Zhou Yan Zhang 《China Communications》 SCIE CSCD 2023年第1期261-276,共16页
This paper studies the coordinated planning of transmission tasks in the heterogeneous space networks to enable efficient sharing of ground stations cross satellite systems.Specifically,we first formulate the coordina... This paper studies the coordinated planning of transmission tasks in the heterogeneous space networks to enable efficient sharing of ground stations cross satellite systems.Specifically,we first formulate the coordinated planning problem into a mixed integer liner programming(MILP)problem based on time expanded graph.Then,the problem is transferred and reformulated into a consensus optimization framework which can be solved by satellite systems parallelly.With alternating direction method of multipliers(ADMM),a semi-distributed coordinated transmission task planning algorithm is proposed,in which each satellite system plans its own tasks based on local information and limited communication with the coordination center.Simulation results demonstrate that compared with the centralized and fully-distributed methods,the proposed semi-distributed coordinated method can strike a better balance among task complete rate,complexity,and the amount of information required to be exchanged. 展开更多
关键词 heterogeneous space network transmission task task planning coordinated scheduling
暂未订购 下载PDF
基于改进MPC的配电网多时间尺度协调调度方法 认领 引用 被引量：2
11
作者 张光儒 陈杰 +2 位作者 马振祺 张家午 任浩栋 《电力电子技术》 2026年第2期106-112,共7页
随着可再生能源渗透率的增加,配电网潮流分布发生变化,可再生能源输出功率的快速波动进一步加大了配电网线路功率波动,对配电网运行产生巨大影响。为此,本文提出了考虑风力发电相关性分析和改进模型预测控制(MPC)的多时间尺度协调调度... 随着可再生能源渗透率的增加,配电网潮流分布发生变化,可再生能源输出功率的快速波动进一步加大了配电网线路功率波动,对配电网运行产生巨大影响。为此,本文提出了考虑风力发电相关性分析和改进模型预测控制(MPC)的多时间尺度协调调度方法。首先,基于copula相关分析理论,建立多个风电场预测误差与不同时间的相关模型,以更准确地捕捉风力发电出力的随机性特征。其次,根据不同时间尺度下预测数据的精度选择不同的优化方法,并在此基础上建立了一种新的多时间尺度调度方法,以在运行成本最低的前提下保证配电网在输电网之间的功率波动最小。然后,提出了一种改进的MPC方法,进一步限制了输配电网络之间交换功率的波动。最后进行了仿真验证,结果表明本文所提方法可以在降低运行成本和网损的同时,有效降低配电网线路功率波动。 展开更多
关键词 输配电网络 模型预测控制 多时间尺度协调调度
暂未订购 下载PDF
极端灾害下有功-无功协同优化的两阶段配电网韧性提升策略 认领 引用 被引量：1
12
作者 刘佳昕 秦文萍 +2 位作者 邢亚虹 王鹏 王钰琨 《电工技术学报》 EI CSCD 北大核心 2026年第9期3070-3084,共15页
极端灾害极易导致配电网线路出现严重故障,进而解列成多个孤岛微电网运行,因此,迫切需要更为安全、高效、快速的策略来合理调度配电网中有限的分布式资源,确保灾后关键负荷的恢复。对此,计及故障线路修复过程中孤岛微电网的动态划分及... 极端灾害极易导致配电网线路出现严重故障,进而解列成多个孤岛微电网运行,因此,迫切需要更为安全、高效、快速的策略来合理调度配电网中有限的分布式资源,确保灾后关键负荷的恢复。对此,计及故障线路修复过程中孤岛微电网的动态划分及不同设备响应速度的差异,提出一种在极端灾害下提升配电网韧性的两阶段策略,通过两个阶段配合对有功和无功设备进行协同优化。第一阶段基于下一时窗可再生能源发电与负荷需求预测,构建鲁棒优化模型,在长时间尺度上优化远程遥控开关、电容器组及储能充放电的控制策略;第二阶段,根据最新精确预测信息和第一阶段决策,在短时间尺度上优化分布式资源和静态无功补偿器的输出,以弥补第一阶段决策中不确定性带来的偏差。在改进的IEEE 33节点系统中进行仿真测试,验证了所提策略的有效性。 展开更多
关键词 配电网 韧性提升 孤岛划分 有功-无功协同调度 鲁棒优化
暂未订购 下载PDF
含高密度光伏与储能的配电网多目标优化调度策略 认领 引用 被引量：4
13
作者 刘可文 侯朗博 +1 位作者 孙昊 陈衡 《发电技术》 CSCD 2026年第1期214-224,共11页
【目的】为了更好地整合高密度光伏能源,在配电网中引入储能设备,以实现用电负荷的削峰填谷,缓解分布式光伏对电网电压的影响。【方法】通过合理选择储能调度和分布式光伏出力策略,采用多目标优化方法,以最小化网络损耗和电压偏差为目... 【目的】为了更好地整合高密度光伏能源,在配电网中引入储能设备,以实现用电负荷的削峰填谷,缓解分布式光伏对电网电压的影响。【方法】通过合理选择储能调度和分布式光伏出力策略,采用多目标优化方法,以最小化网络损耗和电压偏差为目标进行配电网潮流优化。利用层次分析法-熵权法建立综合评价体系,通过粒子群算法构建优化模型,得出光伏与储能协同下的最优调度策略。【结果】通过30节点的仿真模型和实际案例进行计算分析,验证了储能系统能有效平抑光伏波动,保障节点电压稳定,提升能源利用率。相比传统算法,所提方法在电能质量与网络损耗控制方面具有显著优势。【结论】该方法能够实现配电网的高效稳定运行,减少系统的网络损耗。 展开更多
关键词 配电网优化 高密度光伏 储能 多目标优化 光储协调 粒子群优化 优化调度 综合评价
暂未订购 下载PDF
有源配电网源网荷储自动分层协调交互控制 认领 引用 被引量：1
14
作者 舒东胜 杨洁 +2 位作者 赵红生 李亚馨 邵非凡 《电力信息与通信技术》 2026年第5期76-82,共7页
有源配电网中可再生能源的波动性挑战储能与调节。现有技术如电池系统对小波动有效,但对大规模调节不足,对此,文章提出有源配电网源网荷储自动分层协调交互控制方法。分析光伏、风电、负荷及储能特性,构建特性模型,将这些模型作为构建... 有源配电网中可再生能源的波动性挑战储能与调节。现有技术如电池系统对小波动有效,但对大规模调节不足,对此,文章提出有源配电网源网荷储自动分层协调交互控制方法。分析光伏、风电、负荷及储能特性,构建特性模型,将这些模型作为构建调度目标函数模型的重要基础和约束条件,构建一个适用于有源配电网协调管理与控制的目标函数模型。采用和声搜索算法求解最优解,实现分层控制与协调管理。实验结果表明,所提方法在有源配电网特性分析中展现出显著的效果。与其他方法相比,能够更有效地减少出力分配和调频控制结果之间的误差,进一步降低损耗。 展开更多
关键词 有源配电网 源网荷储 调度目标函数 和声搜索算法 协调交互控制
暂未订购 下载PDF
基于动态组网和电价激励的配-微电网协调优化调度 认领 引用 被引量：1
15
作者 谢文强 陈辉 +2 位作者 刘建 朱卫平 杨毅 《电力系统及其自动化学报》 CSCD 北大核心 2026年第1期142-150,共9页
针对中低压配电网电压越限和分布式资源无序调度等问题,提出一种基于智能软开关的配电网动态组网优化方案和面向微电网的电价激励分布式资源整合策略。首先,提出配电网侧动态组网-电价激励的优化运行策略,并建立两层分阶段优化模型;其次... 针对中低压配电网电压越限和分布式资源无序调度等问题,提出一种基于智能软开关的配电网动态组网优化方案和面向微电网的电价激励分布式资源整合策略。首先,提出配电网侧动态组网-电价激励的优化运行策略,并建立两层分阶段优化模型;其次,引入微电网侧自治优化模型,在保证各微网隐私权的同时,实现微网的最优自治运行;再次,将微网作为配网侧的等效负荷或出力,结合智能软开关的双向功率控制能力优化潮流分布,实现配网侧的动态组网;最后,通过IEEE-33节点算例仿真,验证了所提模型在增强分布式资源协调能力和提高电压质量方面的有效性。 展开更多
关键词 智能软开关 动态组网 电价激励 微电网自治优化 分布式资源协调调度
暂未订购 下载PDF
基于多智能体强化学习的多能互补能源系统 优化运行 认领 引用 被引量：1
16
作者 陈锋 路小敏 +2 位作者 李梦杨 张涛 杨帆 《综合智慧能源》 CAS 2026年第3期15-26,共12页
针对多能互补能源系统在高比例可再生能源接入下的动态协同优化难题,以及传统集中式方法在多主体利益协调和实时响应中的局限性,开展动态优化建模研究。构建了“物理层-决策层-协同层”三层多智能体强化学习(MARL)框架,将能源生产者、... 针对多能互补能源系统在高比例可再生能源接入下的动态协同优化难题,以及传统集中式方法在多主体利益协调和实时响应中的局限性,开展动态优化建模研究。构建了“物理层-决策层-协同层”三层多智能体强化学习(MARL)框架,将能源生产者、消费者及系统调度器划分为独立智能体。基于改进近端策略优化算法,设计了融合经济性、环保性与稳定性的动态奖励函数,通过集中训练-分散执行机制实现分布式决策与全局协同。以典型的园区级多能互补系统为算例,结果表明:所提MARL模型使可再生能源消纳率提升至92.3%,单位电量成本较传统混合整数规划(MIP)方法降低了28.9%;在50%负荷突变场景下,系统恢复稳定时间缩短至90 s,较MIP方法提速900%;面对±20%风光预测误差,负荷满足率仍保持98.7%。该动态优化模型可有效解决多能互补系统的多主体协同与不确定性适应问题,为高渗透率可再生能源系统的实时优化调度提供技术支撑。 展开更多
关键词 多能互补能源系统 多智能体强化学习 动态优化建模 源网荷储 可再生能源消纳 协同调度
暂未订购 下载PDF
基于拍卖算法的多代理并行机生产运输协调调度 认领 引用
17
作者 许可 吉兰萍 +2 位作者 宫华 刘鹏 孙文娟 《运筹学学报（中英文）》 CSCD 北大核心 2026年第1期121-136,共16页
在资源共享的背景下,为解决来自不同客户的工件对机器资源的竞争,研究了基于多代理的并行机生产运输协调调度问题。将有各自优化目标的多个客户看作多个代理,以最大化每个代理自身的收益为目标,建立调度模型。将代理作为投标方、机器作... 在资源共享的背景下,为解决来自不同客户的工件对机器资源的竞争,研究了基于多代理的并行机生产运输协调调度问题。将有各自优化目标的多个客户看作多个代理,以最大化每个代理自身的收益为目标,建立调度模型。将代理作为投标方、机器作为拍卖方,设计了包含投标策略、中标决策和价格更新机制的多轮迭代拍卖算法求解模型。实验结果表明,设计的多轮迭代拍卖算法可以有效地解决多个代理之间的冲突,相比于遗传算法可以在更短的时间内使代理得到更高的平均收益。 展开更多
关键词 资源共享 并行机 生产运输协调调度 多代理调度 拍卖算法
暂未订购 下载PDF
考虑地源热泵变流量热交换特性的电-热协同调度方法 认领 引用
18
作者 杨越 武平辉 +3 位作者 陈垒 杨晓东 蔺晨晖 吴文传 《电力自动化设备》 EI CSCD 北大核心 2026年第4期67-76,共10页
地源热泵运行特性与地埋管换热器网络的热交换过程存在紧密耦合,这给地源热泵的准确建模与优化控制带来挑战。为此,提出一种基于变流量控制下地源热泵精细热模型的电-热协同调度方法。建立变流量调节下的地埋管换热器网络端口等效解析模... 地源热泵运行特性与地埋管换热器网络的热交换过程存在紧密耦合,这给地源热泵的准确建模与优化控制带来挑战。为此,提出一种基于变流量控制下地源热泵精细热模型的电-热协同调度方法。建立变流量调节下的地埋管换热器网络端口等效解析模型,描述流体流量变化时土壤与流体间的热交换过程;建立地源热泵系统的变流量电-热耦合模型,揭示其电功率消耗、流体流量对供热能力的动态影响;构建以最小运行成本为目标的电-热协同调度优化框架,通过动态调节地源热泵的流量与功率,实现地源热泵系统与电力系统的协同优化。仿真结果表明,该调度方法能够充分发挥地源热泵系统的调节灵活性,在满足建筑供热需求的同时,提升系统的运行经济性与分布式可再生能源消纳能力。 展开更多
关键词 地源热泵 电-热协同调度 变流量控制 地埋管换热器 综合能源系统 日前调度
暂未订购 下载PDF
考虑源-荷协调响应的综合能源系统优化调度 认领 引用
19
作者 徐涛 刘宇航 +4 位作者 郑坤 王辰宇 邢佳宝 刘泽楠 鲁亚楠 《电网与清洁能源》 CSCD 北大核心 2026年第1期93-101,共9页
为充分挖掘源-荷侧可调度资源,优化综合能源系统(integrated energy system,IES)的经济性能和低碳效益,提出一种考虑源-荷协调响应的综合能源系统优化调度策略。在能源供给侧,利用余热设备和电-氢耦合系统,构建电、热能灵活转换与输出... 为充分挖掘源-荷侧可调度资源,优化综合能源系统(integrated energy system,IES)的经济性能和低碳效益,提出一种考虑源-荷协调响应的综合能源系统优化调度策略。在能源供给侧,利用余热设备和电-氢耦合系统,构建电、热能灵活转换与输出的源侧响应模型;在负荷需求侧,综合考虑多元负荷的中断、时移等响应特性,并结合电动汽车充电站的运行约束,构建负荷侧响应模型;为评估综合能源系统负荷需求的综合满意程度,提出了一种负荷满意度综合评价指标,通过商业求解器对综合能源系统优化模型进行仿真求解。仿真结果表明,所提策略在保障用能质量的同时有效降低了系统运行成本。 展开更多
关键词 源-荷协调 电-氢系统 电动汽车 综合能源系统 优化调度
暂未订购 下载PDF
兰西城市群(甘肃)生态系统服务与经济发展的耦合关系研究 认领 引用
20
作者 赵晓冏 苏军德 +1 位作者 赵莎莎 王乃亮 《环境生态学》 2026年第1期29-37,共9页
城市群地区经济发展对生态环境产生了一系列影响,许多研究基于统计数据广泛分析了经济发展与生态环境之间的关系,但忽略了自然生态的系统化功能。本研究从生态系统服务的角度,以兰西城市群(甘肃)为例,建立了基于生态系统服务价值的经济... 城市群地区经济发展对生态环境产生了一系列影响,许多研究基于统计数据广泛分析了经济发展与生态环境之间的关系,但忽略了自然生态的系统化功能。本研究从生态系统服务的角度,以兰西城市群(甘肃)为例,建立了基于生态系统服务价值的经济发展系统与生态系统之间的耦合协调度评价模型,分析了兰西城市群(甘肃)2个系统之间的耦合协调度的动态特征和类型。结果表明,1)2000-2020年,兰西城市群(甘肃)生态系统服务价值变化趋势呈先急剧增加后缓慢减少的倒“U”形,总体上增加了7.73亿元。经济发展水平越高的县(市、区)生态系统服务价值减少速度越快。2)2000-2020年,兰西城市群(甘肃)地区的大部分县(市、区)耦合度一直在增加,并且2015年以后,其耦合度一直保持在高水平的耦合阶段。3)2000-2020年,兰西城市群(甘肃)大部分地区属于经济发展滞后型,处于经济发展与生态系统不协调状态,且长期没有得到缓解,远离经济中心的地区长期保持在协调状态。 展开更多
关键词 兰西城市群 生态系统服务 耦合协调度 土地利用
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 28 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈