| 引用本文: | 喻洁,张彤彤,丁恰,涂孟夫,曹荣章.考虑清洁能源消纳的售电商滚动修正月度市场交易策略[J].电力自动化设备,2021,41(9): |
| YU Jie,ZHANG Tongtong,DING Qia,TU Mengfu,CAO Rongzhang.Power retailers’ rolling correction trading strategy in monthly market considering clean energy accommodation[J].Electric Power Automation Equipment,2021,41(9): |
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| 摘要: |
| 在深化电力市场改革以及促进需求侧消纳清洁能源的背景下，售电商需综合考虑火电年度合同电量以及清洁能源消纳年度合同电量，在合理安排年度合同电量分解的基础上，根据月度用电量预测偏差优化月度市场交易策略，构建了售电商月度购电滚动修正优化策略框架。基于月度市场电价波动风险分析，提出了年度合同电量分解到月度合同电量的进度系数。考虑了清洁能源出力波动的季节性修正因子，从而建立了满足偏差考核的售电商月度最优购电策略模型。算例分析了电价波动以及清洁能源消纳年度合同电量对售电商月度市场竞价策略的影响，对售电商承担新能源消纳权责、降低竞价风险、满足偏差考核具有现实意义。 |
| 关键词: 月度市场交易 滚动修正优化 清洁能源消纳 修正因子 |
| DOI：10.16081/j.epae.202109027 |
| 分类号:TM73;F123.9 |
| 基金项目:国家自然科学基金面上项目(51977032)；国家自然科学基金智能电网联合基金资助项目(U1966204)；南瑞集团智能电网保护和运行控制国家重点实验室开放课题(广义需求侧资源参与现货和辅助服务市场的协同运营研究) |
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| Power retailers’ rolling correction trading strategy in monthly market considering clean energy accommodation |
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YU Jie1, ZHANG Tongtong1, DING Qia2, TU Mengfu2, CAO Rongzhang2
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.Key Laboratory of Smart Grid Protection and Operation Control, NARI Group Corporation, Nanjing 211106, China
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| Abstract: |
| Under the background of deepening the electricity market reform and promoting clean energy accommodation at the demand side, the annual contract electricity of thermal power and the annual contract electricity of clean energy accommodation should be comprehensively considered by power retailers. On the basis of reasonable arrangement of the annual contract electricity decomposition, the trading strategy in monthly market is optimized according to the forecasting deviations of monthly electricity consumption. The framework of power retailers’ monthly power purchase rolling correction optimal strategy is constructed. Based on the analysis of electricity price fluctuation risk in monthly market, the rate coefficient of annual contract electricity decomposed to monthly contract electricity is proposed. Considering seasonal correction coefficient for the clean energy output fluctuation, power retailers’ monthly optimal power purchase strategy model is established so as to meet the deviation assessment. The influence of electricity price fluctuation and clean energy accommodation annual contract electricity on the power retailers’ bidding strategy in monthly market is analyzed, which is of practical significance for power retailers to complete the clean energy consumption responsibilities, reduce the bidding risk and meet the deviation assessment. |
| Key words: monthly market rolling correction optimization clean energy accommodation correction coefficient |
