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基于多智能体一致性的能源互联网协同优化控制 被引量:26

Cooperative Optimal Control of Energy Internet Based on Multi-agent Consistency
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摘要 针对能源互联网中多种能源协同优化与控制,提出了一种协调优化控制策略以实现分布式可再生能源的大规模利用。设计适用于区域能源互联网的动态多智能体协同框架,上层调度以综合成本最小化为目标,对一次能源进行日前调度优化,实现能源的经济利用和多种能源主网的安全稳定运行。提出了应用于配电网中的基于一致性理论的二级控制策略,在电压和频率的安全域内,实现分布式电源有功功率和联络线功率的精确控制,并讨论了延时通信对控制的影响。最后,仿真验证了所提策略的有效性。 In view of the collaborative optimization and control of various kinds of energy in the Energy Internet, a collaborative optimal control strategy is proposed to realize large-scale utilization of distributed renewable energy. The dynamic multi-agent coordination framework for the regional Energy Internet is designed. The upper scheduling aims at minimizing the integrated cost and optimizes the day-ahead scheduling of primary energy to realize energy economy and safe and stable operation of the multi-energy main network. The two-level control strategy based on the consistency theory is utilized to realize the precise control of the active power and the tie-line power of distributed generators in the security domain of voltage and frequency. Also, the influence of communication delay is discussed. Finally, the simulation verifies the effectiveness of the proposed strategy. This work is supported by National Natural Science Foundation of China (No. 51577115) and National Key Research and Development Program of China (No. 2016YFB0901304).
出处 《电力系统自动化》 EI CSCD 北大核心 2017年第15期10-17,57,共9页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(51577115) 国家重点研发计划资助项目(2016YFB0901304)~~
关键词 多代理 一致性 协同优化 能源互联网 联络线功率 multi-agent consensus collaborative optimization Energy Internet, tie-line power
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