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作 者:郭子仪 韩爽 刘永前 阎洁 闫亚敏 GUO Ziyi;HAN Shuang;LIU Yongqian;YAN Jie;YAN Yamin(State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
机构地区:[1]新能源电力系统国家重点实验室(华北电力大学),北京市102206
出 处:《电力建设》2023年第9期34-42,共9页Electric Power Construction
基 金:国家重点研发计划项目(SQ2022YFE010403)。
摘 要:目前已有的考虑风电场储能配置方法相关研究缺少对电力市场交易场景的考虑以及储能充放电成本计算。因此提出一种考虑多交易和储能充放电成本的风电场日前交易和日内交易的储能容量配置方法。首先,通过Canopy-K-means聚类方法对日内电价历史数据进行聚类以确定日交易场景。其次,参考北欧电力市场交易模式,提出储能单次充放电成本折算方法和考虑多场景的风电场参与日前日内市场的储能配置方法。最后,以丹麦某风电场作为算例,结果表明该储能配置方法的全年净收益比单场景储能配置下最高可以提高6.92%,比无配置储能下提高5.11%,验证了所提方法的可行性及有效性,为风电场储能配置方法提供参考。Existing research related to wind-farm energy-storage allocation methods has failed to consider power market trading scenarios and the calculation of energy-storage charging and discharging costs.Therefore,a storage-capacity allocation method for wind-farm day-ahead and intraday trading that considers multiple transactions and costs of storage charging and discharging is proposed.First,intraday electricity price history data are clustered using the Canopy-K-means clustering method to determine the day-trading scenario.Second,with reference to the Nordic electricity market trading model,we propose a single charge/discharge cost discounting method for energy storage and a storage-allocation method for wind farms that participate in day-ahead and intraday markets while considering multiple scenarios.Finally,based on a wind farm in Denmark as an example,results show that the annual net revenue of the proposed energy-storage configuration method can be increased by as much as 6.92% and 5.11% as compared with those under single-scene and no energy-storage configurations,respectively.These results verify the feasibility and effectiveness of the proposed method and provide a valuable reference for the wind-farm energy-storage configuration method.
关 键 词:储能配置方法 储能成本 场景聚类 电力市场 日前市场 日内市场
分 类 号:TM73[电气工程—电力系统及自动化]
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