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基于抽蓄租赁模式的风光集群市场化运营策略OA

Market-oriented Operation Strategies for Wind and Solar Power Station Clusters Based on Pumped Storage Leasing Model

中文摘要英文摘要

随着新能源上网电量全面入市交易机制的推行,分布式风光发电由于其波动性和不确定性,导致其市场竞争力弱,且面临市场偏差考核惩罚风险,市场盈利空间被大幅压缩.为此,将分布式风光电站组成集群,以抽蓄和各电站自有储能为调节资源,提出了风光电站集群租赁抽蓄和自有储能协同调节的"日前-日内-租赁成本分配"三阶段市场化运营策略及模型.第一阶段,考虑风光出力不确定性影响,构建考虑市场期望效益最大的风光集群日前市场交易及抽蓄租赁的协同决策模型,获得集群的日前交易计划及抽蓄租赁计划;第二阶段,为规避风光发电计划的偏差考核风险,构建考虑综合效益最大的风光集群日内市场交易及抽蓄租赁的协同滚动优化决策模型,获得集群的实时电量交易计划及抽蓄租赁计划;第三阶段,根据各电站出力波动及自配储的差异性,提出了考虑电价相似度和自配储容量因子的抽蓄租赁成本改进分层Shapley值公平分配模型,维系集群机制的稳定性.仿真结果表明,含自配储的分布式风光电站以集群形式租赁储能参与市场可以保障风光电站利益,提高储能利用效率.

With the implementation of the full market trading mechanism for the grid-connected electricity of new energy,distributed wind and solar power generation,due to its volatility and uncertainty,has weak market competitiveness and is facing the risk of market deviation assessment and punishment,resulting in a significant compression of market profit margins.To this end,distributed wind and solar power stations are clustered,with pumped storage and each power station's self-owned energy storage serving as the regulation resources.A three-stage,market-oriented operational strategy and model of"day-ahead-real-time-lease cost allocation"is proposed for the collaborative regulation of the cluster's leased pumped storage and the power station's self-owned energy storage.In the first stage,considering the uncertainty risks of wind and solar output,a collaborative decision-making model for day-ahead market transactions and pumped storage leasing within clusters that maximized the expected market benefits was constructed,and the day-ahead transaction and pumped storage leasing plans for the cluster were obtained.In the second stage,to avoid the risk of deviation assessment in wind and solar power generation plans,a collaborative rolling optimization decision-making model considering the intraday market trading and pumped storage leasing of clusters with the greatest comprehensive benefits is constructed to obtain the real-time electricity trading plan and pumped storage leasing plan of the clusters.In the third stage,based on the output fluctuations of each power station and the differences in self-distributed storage,an improved hierarchical Shapley value fair distribution model for pumped storage rental costs,considering the similarity of electricity prices and the capacity factor of self-distributed storage,was proposed to maintain the stability of the cluster mechanism.The simulation results show that distributed wind and solar power stations that lease self-owned energy storage in the form of clusters to participate in the market can guarantee the interests of wind and solar power stations and improve the utilization efficiency of energy storage.

李咸善;李丹宁;仇成龙;张远航;李家辉;王秋杰

梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002梯级水电站运行与控制湖北省重点实验室(三峡大学),湖北省宜昌市 443002三峡大学电气与新能源学院,湖北省宜昌市 443002

信息技术与安全科学

分布式风光电站集群自配储抽水蓄能电能量市场主从博弈改进分层Shapley值

distributed wind and solar power plant clustersself-dispensing storagepumped storageelectric energy marketmaster-slave gameimproved hierarchical Shapley value

《电网技术》 2026 (4)

1619-1632,中插69-中插76,22

国家自然科学基金项目(52307109).Project Supported by National Natural Science Foundation of China(52307109).

10.13335/j.1000-3673.pst.2025.0959

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