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考虑源-荷不确定性的省间电力现货市场潮流风险概率评估

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新型电力系统建设背景下可再生能源占比逐渐提高,源-荷双侧不确定性使省间电力现货市场运行风险增加.针对该问题,提出一种考虑源-荷双侧不确定性的省间电力现货市场联络线潮流风险概率评估方法.首先,分析源-荷双侧不确定性对省间电力现货市场出清的影响,建立源-荷联合不确定性模型为市场出清提供数据基础.然后,设计省间电力现货市场出清双层优化模型,以计算省间联络线的潮流出清结果.最后,为表征源-荷双侧不确定性给电力市场出清安全带来的风险,提出联络线容量占用率、潮流概率稳定度和潮流稳定风险度等多个指标对联络线潮流进行了不确定性风险评估.利用某省电力公司数据进行了仿真测试,并将结果与不同不确定性建模方法、不同置信区间下的评估结果对比,验证了所提方法的有效性.
Probabilistic Assessment of Power Flow Risk in Inter-provincial Electricity Spot Market Considering Source-load Uncertainty
The penetration of renewable energy is gradually increasing in the context of new power system construction,and the uncertainty of the source-load side increases the risk of inter-provincial power spot market operation.Aiming at this problem,a probabilistic assessment method of the current tidal risk of inter-provincial power spot market liaison line that considers source-load bilateral uncertainty is proposed.First,the impact of source-load bilateral uncertainty on inter-provincial electricity spot market clearing is analyzed,and a joint source-load uncertainty model is established to provide a data basis for market clearing.Then,a two-layer optimization model for inter-provincial electricity spot market clearing is designed to calculate the tidal clearing model results for inter-provincial liaison lines.Finally,to characterize the risk of source-load bilateral uncertainty to the security of power market clearing,three metrics are proposed to assess the uncertainty risk of the contact line currents:the capacity occupancy rate,the stability of the current probability,and the risk of the current stability.Simulation tests were conducted using data from a provincial power company,and the results were compared with the evaluation results under different uncertainty modeling methods and different confidence intervals to verify the effectiveness of the proposed method.

source-load uncertaintyinter-provincial electricity spot marketprobabilistic analysisrisk assessment

武振荣、杨建宾、叶林、王德林、王超、史昕、崔晖、王方雨

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中国农业大学信息与电气工程学院,北京市海淀区 100083

国家电力调度控制中心,北京市西城区 100031

国网大数据中心,北京市西城区 100031

中国电力科学研究院有限公司,北京市 海淀区 100192

国网北京市电力公司电力科学研究院,北京市 丰台区 100075

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源-荷不确定性 省间电力现货市场 概率分析 风险评估

国家电网公司总部科技项目国家自然科学基金新型电力系统联合基金重点项目

5108-202355047A-1-1-ZNU22B20117

2024

电网技术
国家电网公司

电网技术

CSTPCD北大核心
影响因子:2.821
ISSN:1000-3673
年,卷(期):2024.48(9)