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作 者:陈黎军 潘熙 黄茜 江明 孙莉 王浩 CHEN Lijun;PAN Xi;HUANG Qian;JIANG Ming;SUN Li;WANG Hao(State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing,Jiangsu 210000,China;Market Service Center of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing,Jiangsu 210000,China;State Grid Jurong Power Supply Company,Zhenjiang,Jiangsu 212400,China)
机构地区:[1]国网江苏省电力有限公司,江苏南京210000 [2]国网江苏省电力有限公司营销服务中心,江苏南京210000 [3]国网句容市供电公司,江苏镇江212400
出 处:《广东电力》2024年第1期39-48,共10页Guangdong Electric Power
基 金:国网江苏省电力有限公司科技项目(3612404222339)。
摘 要:为进一步推动电力市场化改革,未入市工商业用户由电网企业代理参与电力交易;然而,代理购电用户用电随机性强,在常规中长期交易中易产生较大偏差电量。对此,借鉴售电公司的中长期与现货市场协同交易模式,分析电网企业代理购电与之在决策目标和决策组成方面的差异,并建立代理购电业务的风险体系;在此基础上,提出计及代理购电特性的风险评估指标,以该项指标为目标函数,建立代理购电决策的优化模型,设计改进粒子群算法实现月度市场与日前市场购电量的快速有效分配。根据某区域工商业用户数据验证所提模型的有效性,仿真结果表明,模型通过计及代理购电特有的剩余电量可显著降低条件风险价值,且改进粒子群算法将计算时间缩短近20%。To further promote the electricity market reform,the industrial and commercial users uninvolved in the electricity market participate in power trading by the agency of power grid enterprises,termed as the electricity purchasing agent service(EPAS).However,the uncertainty of the EPAS loads may result in large deviation penalty for the traditional medium and long term transactions.Therefore,this paper refers to the trading model coordinating the medium and long term and spot markets from the electricity sales companies and analyzes the differences between the EPAS and the decision-making objective functions and electricity purchasing components.Afterwards,it constructs a risk framework,and then proposes EPAS risk index.Taking the risk index as the objective function,it establishes an optimal EPAS procurement model and designs the particle swarm optimization(PSO)for rapid and effective allocation of power purchase in the monthly and day-ahead markets.According to the commercial and industrial electricity consumption of a certain region,the paper verifies the effectiveness of the proposed method.The simulation results indicate that the conditional value at risk is significantly reduced by involving residual power of EPAS,and the improved PSO decreases the calculation time by nearly 20%.
分 类 号:TM73[电气工程—电力系统及自动化] F713[经济管理—产业经济]
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