摘要
随着风电以集中式和分布式的形式广泛接入输电系统和配电系统,如何在考虑风电出力不确定性的条件下对输配电系统进行协同经济调度以确保整个系统的经济性和安全性是新的挑战。文中首先建立了考虑风电出力不确定性的输配电系统鲁棒经济调度模型,并采用多面体不确定集描述风电出力的不确定性。然后,在列与约束生成(C&CG)算法框架下,分别针对C&CG主问题和C&CG子问题,提出基于利普希兹动态规划算法和目标级联分析法的分布式求解算法,以保证输电系统和配电系统信息的相对独立。最后,在小型输配电系统和某实际输配电系统上进行了仿真计算,其结果验证了所提算法的正确性和有效性。
As wind power is widely integrated into transmission systems and distribution systems in centralized and distributed forms,it is a new challenge how to implement the coordinated economic dispatch of integrated transmission and distribution systems to ensure the economy and security of the whole system considering the uncertainty of wind power outputs.In this paper,firstly,a robust economic dispatch model of integrated transmission and distribution systems considering the wind power uncertainties is proposed,and a polyhedral uncertainty set is adopted to describe the uncertainty of wind power outputs.Secondly,under the framework of the column and constraint generation(C&CG)algorithm,a distributed algorithm based on Lipschitz dynamic programming and analytical target cascading is proposed for the C&CG master problem and C&CG sub-problems,respectively,to ensure the relative independence of information between the transmission system and distribution system.Finally,the simulation is carried out on a small integrated transmission and distribution system and an actual integrated transmission and distribution system.The results verify the correctness and effectiveness of the proposed algorithm.
作者
黄馨仪
刘明波
林舜江
朱建全
HUANG Xinyi;LIU Mingbo;LIN Shunjiang;ZHU Jianquan(School of Power Engineering,South China University of Technology,Guangzhou 510640,China;Guangdong Key Laboratory of Clean Energy Technology,Guangzhou 510640,China)
出处
《电力系统自动化》
北大核心
2025年第4期165-177,共13页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(52077083)。
关键词
输电系统
配电系统
不确定性
风电
鲁棒优化
经济调度
列与约束生成
利普希兹动态规划
目标级联分析
transmission system
distribution system
uncertainty
wind power
robust optimization
economic dispatch
column and constraint generation(C&CG)
Lipschitz dynamic programming
analytical target cascading
