| 引用本文: | 程杉,陈梓铭,王瑞,何黎君,魏昭彬.基于混合博弈的多微电网双层协调优化调度[J].电力自动化设备,2021,41(8): |
| CHENG Shan,CHEN Ziming,WANG Rui,HE Lijun,WEI Zhaobin.Double-layer coordinated optimal dispatching of multi-microgrid based on mixed game[J].Electric Power Automation Equipment,2021,41(8): |
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| 摘要: |
| 考虑多微电网系统(MMGS)和微电网聚合商(MA)所有权不同，以及各微电网(MG)间能量互济与利益分配，提出基于混合博弈的MMGS双层协调优化调度模型及其求解方法。上层MA与下层MMGS之间采用基于Stackelberg的主从博弈，保证MA与MMGS的利益双赢；MA作为领导者，以自身收益最大为目标，在证明Stackelberg博弈均衡解的存在性后，采用基于群感应机制的粒子群优化算法求解上层MA与下层MG交易的内部电价；下层各MG作为跟随者，相互之间采用合作博弈进行电能交易，提高余电共享水平以及实现收益的合理分配；MMGS以最小化自身成本为目标，根据内部电价，利用CPLEX优化计算购、售电计划并反馈至MA。仿真算例表明，所提方法可有效求解MMGS与MA交互的均衡策略，能同时提高MMGS、MA和各MG收益以及更有效地利用MMGS资源。 |
| 关键词: 多微电网系统 微电网聚合商 混合博弈 粒子群优化算法 |
| DOI：10.16081/j.epae.202106009 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51607105)；电力系统智能运行与安全防御宜昌市重点实验室开放基金资助项目(2020DLXY01) |
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| Double-layer coordinated optimal dispatching of multi-microgrid based on mixed game |
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CHENG Shan1, CHEN Ziming1, WANG Rui1, HE Lijun2, WEI Zhaobin1
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1.Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System, China Three Gorges University, Yichang 443002, China;2.Yichang High-tech Zone Power Supply Company of State Grid Hubei Electric Power Co.,Ltd.,Yichang 443002, China
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| Abstract: |
| Considering the ownerships of MMGS(Multi-MicroGrid System) and MA(Microgrid Aggregator) are different and energy exchange and benefit distribution among each MG(MicroGrid),a double-layer coordinated optimal dispatching model based on mixed game of MMGS and its solving method are proposed. The master-slave game based on Stackelberg is adopted between the upper layer MA and the lower layer MMGS to guarantee a win-win result between MA and MMGS. MA, as the leader, takes its maximum benefit as the object, after the existence of Stackelberg game equilibrium solutions is verified, the particle swarm optimization algorithm based on quorum-sensing mechanism is adopted to solve the internal electricity price between the upper layer MA and the lower layer MGs. The lower layer MGs, as the followers, adopt cooperative game to trade electricity between each other, which improves residual electricity sharing level and realizes rational benefit distribution. MMGS takes its minimum cost as the object, and uses CPLEX to optimize electricity trading plan according to the internal electricity price and feeds it back to MA. The simulation example shows that the proposed method can effectively solve the equilibrium strategy between MMGS and MA, improve the benefit of MMGS, MA and each MG simultaneously, and make more effective use of MMGS resources. |
| Key words: multi-microgrid system microgrid aggregator mixed game particle swarm optimization algorithm |
