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多交易模式下混合式抽水蓄能电站优化调控策略

王玥瑶 延肖何 刘念

南方电网技术2024,Vol.18Issue(5):51-61,11.
南方电网技术2024,Vol.18Issue(5):51-61,11.DOI:10.13648/j.cnki.issn1674-0629.2024.05.006

多交易模式下混合式抽水蓄能电站优化调控策略

Optimization Scheduling Strategy for Hybrid Pumped-Storage Power Station Under Multi-Transaction Modes

王玥瑶 1延肖何 1刘念1

作者信息

  • 1. 华北电力大学新能源电力系统国家重点实验室,北京 102206
  • 折叠

摘要

Abstract

Under the"Dual Carbon"target,the hybrid pumped storage power station combining conventional hydropower with pumped storage functions is a new trend in hydropower generation.Developing rational scheduling strategies is a key challenge for hybrid pumped storage adaptation to the electricity market.Therefore,a multi-transaction operation mode suitable for hybrid pumped storage power station is proposed,and an internal collaborative control method for the station is proposed based on the characteristics of conventional hydropower and pumped-storage.The conventional hydropower part implements the peak-valley price mechanism,while the pumped storage part implements the two-part tariff mechanism,allowing the station to retain capacity price and participate in the spot market clearing.Based on this operating mode and regulation method,a bi-level optimization scheduling model is proposed to maximize power station profits and social welfare.Finally,the effectiveness of the proposed model is verified through case studies,and the results show that the proposed model is conducive to achieving the rational utilization of hydropower resources.Compared with different single transaction operation modes,the profit of power station increases by at least 1.2%.

关键词

混合式抽水蓄能电站/两部制电价/现货市场/优化调度

Key words

hybrid pumped-storage power station/two-part tariff/spot market/optimize scheduling

分类

信息技术与安全科学

引用本文复制引用

王玥瑶,延肖何,刘念..多交易模式下混合式抽水蓄能电站优化调控策略[J].南方电网技术,2024,18(5):51-61,11.

基金项目

国家重点研发计划资助项目(2021YFB2400700) (2021YFB2400700)

国家自然科学基金青年科学基金项目(52107090). Supported by the National Key Research and Development Program of China(2021YFB2400700) (52107090)

the National Natural Science Foundation for Young Scientists of China(52107090). (52107090)

南方电网技术

OA北大核心CSTPCD

1674-0629

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