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  

Enhanced Multi-Objective Differential Evolutionary Algorithm Based Optimal Power Flow Calculation for Integrated Electricity and Gas Systems

作　　者：刘明凯 王占山[1] 邢彦丽 Liu mingkai;Wang Zhanshan;Xing Yanli(College of Information Science and Engineering Northeastern University,Shenyang 110819 China)

机构地区：[1]东北大学信息科学与工程学院,沈阳110819

出　　处：《电工技术学报》2021年第11期2220-2232,共13页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(61973070);兴辽英才计划(XLYC1802010);流程工业国家重点实验室基本研究项目(2018ZCX22)资助。

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IEEE 30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。With the development of integrated energy system,the connection between power grid and natural gas network is getting closer.In order to ensure the safety and economic operation of the integrated electricity and gas systems,it is necessary to carry out the joint planning for the system.Therefore,firstly,a multi-objective optimal scheduling model of the electricity-gas energy interconnection system is 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,an enhanced 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 solutions can be obtained from the high-dimensional target solving,which can meet the operating requirements of the system under different working conditions.

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 

分 类 号：TM73[电气工程—电力系统及自动化]