陈艳波, 肖钦泽, 张智, 马瑞光, 邓扶摇. 电力现货市场出清结果影响因素量化表征及市场力评价方法[J]. 电网技术, 2025, 49(5): 2035-2045. DOI: 10.13335/j.1000-3673.pst.2024.1459
引用本文: 陈艳波, 肖钦泽, 张智, 马瑞光, 邓扶摇. 电力现货市场出清结果影响因素量化表征及市场力评价方法[J]. 电网技术, 2025, 49(5): 2035-2045. DOI: 10.13335/j.1000-3673.pst.2024.1459
CHEN Yanbo, XIAO Qinze, ZHANG Zhi, MA Ruiguang, DENG Fuyao. Quantitative Methods for Influencing the Results of Electricity Spot Market and Methods for Evaluating Market Power[J]. Power System Technology, 2025, 49(5): 2035-2045. DOI: 10.13335/j.1000-3673.pst.2024.1459
Citation: CHEN Yanbo, XIAO Qinze, ZHANG Zhi, MA Ruiguang, DENG Fuyao. Quantitative Methods for Influencing the Results of Electricity Spot Market and Methods for Evaluating Market Power[J]. Power System Technology, 2025, 49(5): 2035-2045. DOI: 10.13335/j.1000-3673.pst.2024.1459

电力现货市场出清结果影响因素量化表征及市场力评价方法

Quantitative Methods for Influencing the Results of Electricity Spot Market and Methods for Evaluating Market Power

  • 摘要: 电力现货市场出清结果受到市场主体报价以及多重耦合约束的影响,通过对出清结果影响因素的量化分析,有助于市场运营人员深入了解运营结果的致因,从而增强现货交易组织保障能力和市场风险防范能力。为此,文章提出了一种市场出清结果影响因素量化表征及市场力评价方法。首先,基于用户侧参与的电力现货市场出清模型,提出了市场出清结果量化表征方法,量化了机组特性、线路传输容量、负荷特性对节点边际电价及机组出力的影响,为现货市场出清结果的形成原因及影响因素剖析提供了一种解析工具。在此基础上,构建了基于量化表征法的市场力评价指标体系,通过市场力评估帮助市场成员就机组报价和负荷报价对利润的影响做出指导。最后,通过算例分析验证了所提市场出清结果影响因素量化表征的有效性,并通过市场力评价方法分析了市场成员报价改变对自身及其他市场成员利润的影响。

     

    Abstract: The clearing results of the electricity spot market are influenced by market participants' bids and various coupling constraints. Quantitative analysis of the factors influencing the clearing results is beneficial for market operators to gain a deeper understanding of the causes of market operation results, thereby enhancing the organizational safeguarding capabilities and market risk prevention capabilities of spot trading. To this end, this paper proposes a quantitative characterization of the factors influencing market clearing results and a market power evaluation method. Firstly, a model for the participation of consumers in the electricity spot market clearing is established, and a method for quantitatively characterizing the market clearing results is proposed. The impacts of generator characteristics, line transmission capacity, and load characteristics on nodal marginal prices and unit output are quantified, providing an analytical tool for analyzing the formation causes and influencing factors that influence electricity spot market clearing results. Based on this, a market power evaluation method is proposed to assist market participants in evaluating the effects of generator and load bids on profits. Finally, through case studies, the effectiveness of the proposed quantification method for factors influencing clearing results is validated, and the impact of changes in market members' bids on their own and other market members' profits is analyzed using the market power evaluation method.

     

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