考虑碳排放推动下电能替代负荷的配电网扩展规划方法  

Distribution network expansion planning considering electric energy alternative load driven by carbon emission

作　　者：王镜峣 黄媛[1] 谯傲 WANG Jingyao;HUANG Yuan;QIAO Ao(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;School of Logistics,Chengdu Universityof Information Technology,Chengdu 610103,China)

机构地区：[1]四川大学电气工程学院,四川成都610065 [2]成都信息工程大学物流学院,四川成都610103

出　　处：《现代电子技术》2025年第4期83-90,共8页Modern Electronics Technique

基　　金：四川省科技计划资助项目(2023YFSY0033)。

摘　　要：“双碳”背景下,电源侧的清洁能源化和负荷侧的电能替代负荷将对配电网的规划产生深远影响,为此,提出一种考虑电能替代负荷的配电网扩展规划方法。首先,从社会经济、环保约束、政策支持、技术水平四个方面对各行业电能替代负荷发展的影响因素进行量化,从而得到关键特征值,并基于此提出一种基于DBO-SVM算法的电能替代负荷预测模型;其次,计及碳排放成本及约束,以综合成本最小、碳排放量最低为多目标建立考虑电能替代负荷的配电网扩展规划模型,利用隶属度函数对多目标问题进行模糊处理,将多目标模型转化为单目标混合整数线性规划模型;最后,在IEEE 33节点系统上验证所提方法的有效性。结果表明:基于DBO-SVM算法的电能替代负荷预测模型收敛速度较快,预测精度较高,能够考虑多方面影响因素并有效预测各行业电能替代负荷量;规划方法考虑了各行业电能替代负荷需求,可以对RE发电进行合理选址定容,提升RE发电接入量并且降低网络损耗;同时采用多目标模糊处理的方法能够兼顾系统经济性与环保性,有利于“双碳”目标的实现。Under the background of thecarbon peaking and carbon neutrality goals,the clean energy on the power supply side and the electric energy alternative load on the load side have a profound impact on the distribution network planning.Therefore,a method of distribution network expansion planning considering electric energy alternative load is proposed.The influencing factors of the development of electric energy alternative load in various industries from four aspects:socio-economic,environmental constraints,policy support,and technological level are quantified to obtain key characteristic values,and on this basis,an electric energy alternative load prediction model based on DBO-SVM(dung beetle optimizer support vector machine)algorithm is proposed.Considering the cost and constraints of carbon emission,the distribution network expansion planning model considering the multi-objective load substitution of electric energy is established with the minimum comprehensive cost and the lowest carbon emission as multi-targets.The effectiveness of the proposed method is verified on an IEEE 33 node system.The results show that the electric energy alternative load prediction model based on DBO-SVM algorithm has faster convergence speed,and higher prediction accuracy,which can consider various influencing factors and effectively predict the electric energy alternative load of various industries.The method of multi-objective fuzzy processing can balance the system economy and environmental protection,and is conducive to the realization of"double carbon"goal.

关 键 词：碳排放 配电网扩展规划 电能替代负荷 预测流程 DBO-SVM算法 模糊多目标优化 IEEE 33节点系统 

分 类 号：TN322.8-34[电子电信—物理电子学] TM715[电气工程—电力系统及自动化]