现代电力2024，Vol.41Issue(5)：832-843,12.DOI:10.19725/j.cnki.1007-2322.2022.0429
基于概率最优潮流的电力系统灵活性量化评估方法
A Quantitative Assessment Method for Power System Flexibility Based on Probabilistic Optimal Power Flow
摘要
Abstract
Given its fluctuation and stochasticity,renewable energy generation's high proportion to connect poses chal-lenges to the flexibility of the power system.For that reason,a quantitative assessment method of power system flexibility based on probabilistic optimal power flow was proposed.Firstly,the flexible resource models of the power system were constructed.Historical data was processed to generate scenari-os by using the k-means method,and the probabilistic models of wind power,photovoltaic power,and load fluctuation were constructed considering the time correlation based on the Markov chain model and the Copula function.Secondly,asso-ciating economic costs with system flexibility,quantitative as-sessment indicators that take into account the operational eco-nomy were established considering system flexibility margin expectations,vacancy expectations,and probability of deficien-cies.Thirdly,the probabilistic optimal power flow model with flexibility resources was constructed,and the system state and index were estimated by the Monte Carlo simulation method and tracking center trajectory interior point method.Finally,analyzing the case of the IEEE RTS-24 system show that the appropriate allocation of renewable energy and energy storage systems could improve system flexibility and operating eco-nomy.关键词
可再生能源/电力系统灵活性/典型场景生成/概率最优潮流/蒙特卡洛模拟/内点法Key words
renewable energy/power system flexibility/typical scenario generation/probabilistic optimal power flow/Mento Carlo simulation/interior point method分类
信息技术与安全科学引用本文复制引用
李文升,魏佳,曹永吉,马睿聪,张恒旭,田鑫..基于概率最优潮流的电力系统灵活性量化评估方法[J].现代电力,2024,41(5):832-843,12.基金项目
国家自然科学基金项目(52177096) （52177096）
国网山东省电力公司科技资助项目(5206002000QD). Project Supported by National Natural Science Foundation of China(52177096) （5206002000QD）
Science and Technology Project of State Grid Shandong Electric Power Corporation(5206002000QD). （5206002000QD）
