摘要
风光并网背景下,为准确评估风光相关性出力及系统输电可靠性裕度(transmission reliability margin,TRM),提出了一种计及风光出力时变相关特性的TRM评估方法.首先,计及风光出力存在的时变相关特性和季节特性,提出了基于时变Copula函数的风光24 h联合出力场景生成方法,所生成的场景为准确评估TRM提供基础.然后,在考虑TRM时间尺度特性的同时,引入GlueVaR度量系统存在的传输能力缺额风险,进而构建了区分决策者不同风险偏好的TRM期望净收益模型.最后,以风光场景集为基础,利用序贯蒙特卡洛模拟方法生成系统时序运行场景集,结合IEEE-RTS系统利用优化算法求解模型.与以往方法相比,所提评估方法不仅提高了风光出力场景生成的精度,而且保障了系统的可靠经济运行,实现了TRM的差异化评估.
In the context of wind-solar grid integration,in order to accurately evaluate wind-solar correlation output and system transmission reliability margin(TRM),a TRM evaluation method taking into account the time-varying characteristics of wind-solar output is proposed.First,considering the time-varying correlation characteristics and seasonal characteristics of wind-solar output,a method based on the time-varying Copula function for wind-solar 24h joint output scene generation is proposed.The generated scene provides the basis for accurate TRM evaluation.Then,while considering the characteristics of the TRM time scale,the GlueVaR measurement system is introduced to measure the risk of transmission capacity deficiency,and a TRM expected net return model that distinguishes the different risk preferences of decision makers is constructed.Finally,applying wind-solar scene set,the sequential Monte Carlo simulation method is used to generate the system's time-series operation scene set,and the IEEE-RTS system is used to solve the model using optimization algorithms.Compared with previous methods,the simulation results indicated that the proposed method can not only improve the accuracy of wind-solar joint output scene generation,but also guarantee the reliable and economic operation of power system and realize differentiated evaluation of TRM.
作者
高建伟
郭贵雨
郎宇彤
高芳杰
马泽洋
GAO Jianwei;GUO Guiyu;LANG Yutong;GAO Fangjie;MA Zeyang(School of Economics and Management,North China Electric Power University,Beijing 102206,China)
出处
《电力建设》
CSCD
北大核心
2021年第9期85-95,共11页
Electric Power Construction
基金
北京市自然科学基金项目(9202017)。
