现代电力2025，Vol.42Issue(2)：209-219,11.DOI:10.19725/j.cnki.1007-2322.2023.0066
计及节点惯量薄弱性评估的源网荷协调扩展规划
Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment
摘要
Abstract
The frequency safety issue of the power system is becoming increasingly evident under the high proportion of new energy access.In the initial stage of the disturbance,insuf-ficient inertial resources or unreasonable distribution may lead to a rapid drop in frequency,which is an important factor af-fecting the frequency safety.To improve the overall construc-tion efficiency of the system and ensure its inertia response cap-ability during operation,it is necessary to consider the influ-ence of the source,network and load side resources on the sys-tem's inertia support capability of the system during planning.In this paper,a node inertia vulnerability assessment method is proposed,which utilizing the characteristics of initial disturb-ance power probability distribution and power grid information to evaluate the node inertia support capacity.The traditional ordered clustering algorithm has been improved,and a refined clustering method for load-new energy scenario reduction based on comprehensive class diameter is proposed.Meanwhile,a method for vulnerability evaluation of node inertia is proposed,utilizing the initial disturbance power probability distribution characteristics and network information to evaluate the node in-ertia support capability.By integrating generation-transmission-load side resources,a generation-transmission-load collaborat-ive planning model is established and its solution process is de-signed for optimal solution.Finally,the validity of the model is verified through examples,and the influence of inertial con-straints on the system planning results is discussed.关键词
惯量分布/电力系统规划/源网荷协同/频率安全/场景缩减Key words
inertia distribution/power system planning/generation-transmission-load coordination/frequency security/scene cuts分类
信息技术与安全科学引用本文复制引用
朱兰,仇念航,张学涵..计及节点惯量薄弱性评估的源网荷协调扩展规划[J].现代电力,2025,42(2):209-219,11.基金项目
上海电力人工智能工程技术研究中心项目(19DZ2252800).Research Project of Shanghai Electric Power Artificial Intelligence Engineering Technology Research Center(19DZ2252800). （19DZ2252800）
