引用本文:李咸善,李晨杰,张磊.氢耦合区域综合能源系统集群双层博弈随机优化调度策略[J].电力自动化设备,2023,43(12):238-247
LI Xianshan,LI Chenjie,ZHANG Lei.Dispatching strategy of hydrogen-coupled regional integrated energy system cluster based on two-level game stochastic optimization[J].Electric Power Automation Equipment,2023,43(12):238-247
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氢耦合区域综合能源系统集群双层博弈随机优化调度策略
李咸善1,2, 李晨杰1,2, 张磊1,2
1.三峡大学 梯级水电站运行与控制湖北省重点实验室,湖北 宜昌 443002;2.三峡大学 电气与新能源学院,湖北 宜昌 443002
摘要:
为促进区域综合能源系统(regional integrated energy system, RIES)集群的高比例新能源就地消纳,实施新能源的RIES内部消纳、RIES间互补消纳及氢能转换调节消纳策略,解决RIES多购售主体电能交易模式、氢能耦合高效应用和源荷不确定性调度风险等关键问题,提出了RIES集群的三阶段调度随机优化模型。第一阶段,基于电储能调节的RIES新能源电力波动平抑模型,提升电能质量。第二阶段,基于演化博弈的RIES间新能源互补交易调度模型,优化制定购电选择主体策略。第三阶段,采用电制氢及混氢技术,消纳互补交易后的过剩新能源,实现电能时移和电-气、电-热转移的氢能调节;考虑源荷不确定性的随机优化模型,获得兼顾经济性和鲁棒性的调度策略。通过仿真算例验证了方法的有效性。
关键词:  氢耦合区域综合能源系统  质子交换膜电解槽  点对点交易  演化博弈  条件风险价值
DOI:10.16081/j.epae.202310017
分类号:
基金项目:国家自然科学基金资助项目(52007103);湖北省技术创新重大项目(2017AAA132)
Dispatching strategy of hydrogen-coupled regional integrated energy system cluster based on two-level game stochastic optimization
LI Xianshan1,2, LI Chenjie1,2, ZHANG Lei1,2
1.Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China;2.College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Abstract:
In order to promote the local consumption of high proportion of new energy in regional integrated energy system(RIES) cluster, the strategies of internal consumption of new energy in RIES, complementary consumption among RIESs and adjustment consumption of hydrogen energy conversion are implemented. A three-stage stochastic optimization model of RIES cluster dispatching is proposed to solve the key problems of RIES multi-buyer and seller transaction mode, the efficient application of hydrogen energy coupling, and the risk of source-load uncertainty dispatching. In the first stage, the RIES new energy power fluctuation mitigation model based on electric storage regulation is used to improve power quality. In the second stage, the new energy complementary trading dispatching model between RIES based on evolutionary game is developed, to optimize the strategy for electricity buyer to select the seller. In the third stage, the technology of electricity to hydrogen and hydrogen mixing is adopted to absorb the excess new energy after complementary trading, and realize the hydrogen energy regulation of electric energy time shift and electricity-to-gas and electricity-to-heat transfer. A stochastic optimization model considering the uncertainty of source-load is proposed to obtain a dispatching strategy that is both economical and robust. The effectiveness of the method is verified by simulation examples.
Key words:  hydrogen-coupled RIES  proton exchange electrolyzer  peer to peer transaction  evolutionary game  conditional value at risk

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