基于自适应形状估计多目标进化算法的低碳经济能量路由策略  

Low-carbon Economic Energy Routing Strategy via Adaptive Geometry Estimation Based Multi-objective Evolutionary Algorithm

作　　者：华昊辰 史珺博 陈星莺[1] 余昆[1] 秦钰超 沈俊 丁一[4] 贺大玮 HUA Haochen;SHI Junbo;CHEN Xingying;YU Kun;QIN Yuchao;SHEN Jun;DING Yi;HE Dawei(College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,Jiangsu Province,China;Department of Applied Mathematics and Theoretical Physics,University of Cambridge,Cambridge CB30WA,U.K;School of Mechanical Engineering,Beijing Institute of Technology,Haidian District,Beijing 100081,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,Sichuan Province,China)

机构地区：[1]河海大学能源与电气学院,江苏省南京市210098 [2]剑桥大学应用数学和理论物理系,英国剑桥CB30WA [3]北京理工大学机械与车辆学院,北京市海淀区100081 [4]浙江大学电气工程学院,浙江省杭州市310027 [5]清华四川能源互联网研究院,四川省成都市610213

出　　处：《中国电机工程学报》2025年第4期1394-1408,I0014,共16页PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING

基　　金：国家自然科学基金项目(52107089);中国博士后科学基金项目(2021M700040,2022T150182)。

摘　　要：随着“双碳”目标的持续推进,基于能量路由器的区域能源互联系统受到广泛关注。该文旨在研究能量路由策略,通过选择最佳供能路径,实现系统低碳、经济运行。需要强调的是,在图结构的区域能源互联系统中,网损最小的供能路径,其碳排放不一定是最小的;反之亦然。为了同时降低系统的网损和碳排放,该文提出一种考虑两者博弈的能量路由策略,通过控制各微网能源出力并选择供能路径,以实现网损和碳排放的帕累托最优。首先,提出一种基于深度优先思想的无拥塞路径搜索方法,以获取供能路径;之后,利用自适应形状估计多目标进化算法快速获得帕累托最优解集;然后,通过综合权重-逼近理想解排序法从中选取最优折中解;最后进行仿真分析。结果表明,与已有能量路由策略相比,该文所提能量路由策略在网损仅提升4.73%的情况下,降低了58.24%的碳排放。且该文采用的自适应形状估计多目标进化算法在保证求解效果的同时,求解时间比已有算法缩短5.8%。With the continuous promotion of the“Carbon peak and carbon neutrality”,the regional energy internet based on energy router has received widespread attention.This article aims to study an energy routing strategy,which enables the system to operate in a low-carbon and economically efficient manner by selecting the optimal energy routing path.It should be emphasized that in the graph structured regional energy internet,the energy routing path with the least power loss may not necessarily lead to the lowest carbon emissions,and vice versa.In order to simultaneously reduce the power losses and carbon emissions in the system,this paper proposes an energy routing strategy to achieve Pareto optimality between power losses and carbon emissions by controlling the output of each microgrid and selecting the energy supply path.First,this article proposes a congestion free path search method based on depth-first search to obtain energy routing path.Afterwards,adaptive geometry estimation based multi-objective evolutionary algorithm(AGE-MOEA)is used to quickly obtain the Pareto optimal set.Then,the optimal compromise solution can be selected through the comprehensive weight-technique for order preference by similarity to an ideal solution(TOPSIS).Finally,simulation analysis is conducted in the regional energy internet scenario,and the results show that compared with the existing energy routing algorithm,the energy routing strategy proposed in this paper can reduce carbon emissions by 58.24%with only a 4.73%increase in power losses.Moreover,the AGE-MOEA used in this paper reduces the solution time by 5.8%compared to the existing algorithm while guaranteeing the effectiveness of the solution.

关 键 词：能源互联网 能量路由策略 网损 碳排放 进化算法 

分 类 号：TM73[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]