引用本文: | 何黎君,程杉,陈梓铭.考虑交互功率控制和双边竞价交易的多微电网双层优化调度[J].电力系统保护与控制,2020,48(11):10-17.[点击复制] |
HE Lijun,CHENG Shan,CHEN Ziming.A scheduling model of a multi-microgrid system based on bi-layer optimization with consideration of PCC power control and bilateral bidding[J].Power System Protection and Control,2020,48(11):10-17[点击复制] |
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摘要: |
多微电网的协调优化与控制是保证多微电网系统高可靠运行的有效途径。提出一种考虑交互功率控制和双边竞价交易策略的多微电网双层优化调度模型。上层以微电网与配电网交互功率和交互功率波动最小化为目标。下层以多微电网系统的综合成本最低为目标,并采取双边竞价交易策略协调多个微电网之间的公平交易和功率分配。通过实际算例验证了该优化模型能够降低多微电网系统与配电网交互功率和交互功率的波动,所设计的交易策略能降低多微电网系统综合成本。 |
关键词: 多微电网 日前优化调度 双边竞价 双层优化 |
DOI:10.19783/j.cnki.pspc.190917 |
投稿时间:2019-07-30修订日期:2019-08-20 |
基金项目:国家自然科学基金项目资助(51607105) |
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A scheduling model of a multi-microgrid system based on bi-layer optimization with consideration of PCC power control and bilateral bidding |
HE Lijun,CHENG Shan,CHEN Ziming |
(Hubei Provincial Collaborative Innovation Center for New Energy Microgrid China Three Gorges University, Yichang 443002, China;College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China) |
Abstract: |
Coordinated optimization and control is an effective way to ensure highly reliable operation of the multi-microgrid system. A scheduling model of a multi-microgrid system based on bi-layer optimization with consideration of Point of Common Coupling (PCC) power control and bilateral bidding is proposed. The upper layer aims at minimizing the PCC power and its fluctuation. The lower is to reduce total cost of the multi-microgrid system. In order to coordinate fair dealing and power allocation between the microgrids, a bilateral bidding strategy is adopted. The simulation results demonstrate that the optimization model can reduce the amount and the fluctuation of the PCC power, and the designed bilateral bidding strategy enables reduction of the overall cost of the multi-microgrid system. This work is supported by National Natural Science Foundation of China (No. 51607105). |
Key words: multi-microgrid day-ahead optimization scheduling bilateral bidding bi-layer optimization |