分布式光储聚合商参与日前多市场联合出清研究
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1.河海大学 电气与动力工程学院;2.河海大学 人工智能与自动化学院;3.中国电力科学研究院有限公司南京分院

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国家电网有限公司总部科技项目


Day-ahead multi-market coordinated clearing involving distributed solar-storage aggregators
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Affiliation:

1.School of Electrical and Power Engineering, Hohai University, Nanjing;2.College of Artificial Intelligence and Automation, Hohai University, Changzhou

Fund Project:

Science and Technology Project of State Grid Corporation

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    摘要:

    为促进分布式新能源、分布式储能参与多类型电力市场交易,提升多市场出清效率,提出了一种包含分布式光储聚合商参与的日前电能量-调频-备用市场联合出清方法。首先,引入综合调频性能指标,结合聚合商的出力特性,采用层次分析法确定调频性能指标,量化不同市场主体的调频效果,增加优质调节资源在调频市场中标量;其次,综合考虑各聚合商与火电机组的技术约束及市场耦合关系,构建以电能量、调频及备用服务总成本最小为目标的安全约束机组组合(security-constrained unit commitment, SCUC)模型;最终,基于SCUC确定的火电机组组合以及储能充放电状态,通过安全约束经济调度(security-constrained economic dispatch, SCED)优化机组出力与节点电价。算例仿真表明,所提方法能降低系统运行成本,提升多电力市场联合出清效率,优化传统火电机组与分布式光储资源在多电力市场协调运行水平。

    Abstract:

    To promote the participation of distributed renewable energy and energy storage in multi-type electricity market transactions and im-prove the efficiency of joint market clearing, this paper proposes a day-ahead coordinated clearing method for energy, frequency regula-tion, and reserve markets that incorporates distributed photovoltaic and energy storage aggregators. First, a comprehensive frequency regulation performance indicator is introduced. Considering the out-put characteristics of aggregators, the analytic hierarchy process (AHP) is adopted to determine this indicator, quantifying the fre-quency regulation performance of different market entities and ena-bling high-quality regulation resources to be prioritized in market clearing. Second, considering the technical constraints of aggregators and thermal power units, as well as the coupling relationships among markets, a security-constrained unit commitment (SCUC) model is established to minimize the total cost of energy, frequency regulation, and reserve services. Finally, based on the unit commitment status of thermal units and the charging/discharging states of energy storage determined by SCUC, a security-constrained economic dispatch (SCED) model is used to optimize unit outputs and locational mar-ginal prices. Case studies demonstrate that the proposed method can reduce system operating costs, enhance the efficiency of joint mul-ti-market clearing, and improve the coordinated operation between traditional thermal power units and distributed photovoltaic and en-ergy storage resources in multi-type electricity markets.

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  • 收稿日期:2026-03-07
  • 最后修改日期:2026-04-02
  • 录用日期:2026-06-17
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