电工技术学报  2021, Vol. 36 Issue (11): 2220-2232    DOI: 10.19595/j.cnki.1000-6753.tces.200405
电力系统与综合能源 |
基于强化多目标差分进化算法的电-气互联系统最优潮流计算
刘明凯, 王占山, 邢彦丽
东北大学信息科学与工程学院 沈阳 110819
Enhanced Multi-Objective Differential Evolutionary Algorithm Based Optimal Power Flow Calculation for Integrated Electricity and Gas Systems
Liu mingkai, Wang Zhanshan, Xing Yanli
College of Information Science and Engineering Northeastern University Shenyang 110819 China
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摘要 随着综合能源系统的提出,电网和天然气网之间联系越来越紧密。为了保证电-气互联系统的安全、经济运行,需要对其进行联合规划研究。首先根据系统具有大规模、多维、非凸、非线性等特性,提出一种电-气能源互联系统的多目标优化调度模型;其次,针对多目标求解算法中种群收敛性和分布性冲突不断加剧的现象,提出一种加强非支配解占优关系的多目标差分进化算法;最后,以IEEE30节点电力系统和比利时20节点天然气系统为例,说明了所提算法能够对所考虑的目标函数产生分布良好的帕累托最优前沿,而且可以在高维目标求解中得到一组较好的优化解,以此满足不同工况下系统的运行要求。
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刘明凯
王占山
邢彦丽
关键词 最优潮流综合能源系统多目标优化加强非支配解占优关系差分进化    
Abstract:With the development of integrated energy system, the connection between power grid and natural gas network isgetting closer. In order to ensure the safety and economic operation of the integrated electricity and gas systems, it is necessary to carry outthe joint planning for the system. Therefore, firstly,a multi-objective optimal scheduling modelof the electricity-gas energy interconnection systemis proposed according to the system's large-scale, multi-dimensional, non-convex, and nonlinear characteristics. Secondly, in order to deal with the problem of poor population convergence in the solving algorithm of high-dimensional objective function, anenhanced multi-objective differential evolution algorithm is proposed to strengthen the dominant relation of non-dominant solutions. Finally, IEEE 30-node power system and Belgium 20-node natural gas system are used to show the effectiveness of the proposed algorithm. The simulations show that the present algorithm can produce a better distribution of Pareto optimal front of the objective function under consideration. Meanwhile, a set of better optimization solutionscan be obtained from the high-dimensional target solving, which can meet the operating requirements of the system under different working conditions.
收稿日期: 2020-04-23     
PACS: TM73  
基金资助:国家自然科学基金(61973070)、兴辽英才计划(XLYC1802010)和流程工业国家重点实验室基本研究项目(2018ZCX22)资助
通讯作者: 王占山,男,1971年生,教授,博士生导师,研究方向为电力系统自动化、故障诊断和稳定性。E-mail:zhanshan_wang@163.com   
作者简介: 刘明凯 男,1996年生,硕士研究生,研究方向为综合能源潮流分析和最优潮流。E-mail:liumk_0124@163.com
引用本文:   
刘明凯, 王占山, 邢彦丽. 基于强化多目标差分进化算法的电-气互联系统最优潮流计算[J]. 电工技术学报, 2021, 36(11): 2220-2232. Liu mingkai, Wang Zhanshan, Xing Yanli. Enhanced Multi-Objective Differential Evolutionary Algorithm Based Optimal Power Flow Calculation for Integrated Electricity and Gas Systems. Transactions of China Electrotechnical Society, 2021, 36(11): 2220-2232.
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