南方电网技术2024，Vol.18Issue(10)：64-72,9.DOI:10.13648/j.cnki.issn1674-0629.2024.10.007
基于改进烟花算法的含高比例新能源的交直流配电网动态重构
Dynamic Reconstruction of AC/DC Distribution Network with High Proportion of New Energy Based on Improved Fireworks Algorithm
摘要
Abstract
The continuous integration of high proportion new energy and diverse loads presents dynamic and AC/DC coexistence operating characteristics in the distribution network,which poses new challenges for the reconstruction of the distribution network.A multi-objective model for dynamic reconfiguration of AC/DC distribution networks was established,taking into account the consump-tion problems caused by the high proportion of new energy access,with the objectives of maximizing the daily consumption of new energy,minimizing the comprehensive cost of reconfiguration,and minimizing the mean square error of net load.A method combin-ing candidate solution sets and improved fireworks algorithm(IFWA)was proposed to optimize and solve the multi-objective model based on the topology structure and operational technical requirements of the distribution network.The candidate solution set is generated based on network topology and operational technology constraints,with the aim of eliminating a large number of infeasible solutions during the optimization process and improving search efficiency.On this basis,the speed of multi-objective optimization was improved by improving the explosion and mutation operators of the fireworks algorithm.Adopting an improved IEEE 69 node system for simulation comparison and analysis.The results indicate that the established model can effectively coordinate the consumption of new energy and reconstruction costs,and the proposed optimization solution strategy has significantly improved operational efficiency compared to before the improvement.关键词
新能源/动态重构/改进烟花算法/交直流/多目标Key words
renewable energy/dynamic reconstruction/improved fireworks algorithm/AC/DC/multi-objective分类
动力与电气工程引用本文复制引用
刘洁,赵晓君,贾宇琛,李亚南,白牧可,张立梅..基于改进烟花算法的含高比例新能源的交直流配电网动态重构[J].南方电网技术,2024,18(10):64-72,9.基金项目
河北省社科基金资助项目(HB22GL026) （HB22GL026）
河北省属高等学校科研项目(KY2022073,KY2021052). Supported by the Social Science Foundation of Hebei(HB22GL026) （KY2022073,KY2021052）
the Science and Technology Research Project of Hebei Higher Education(KY2022073,KY2021052). （KY2022073,KY2021052）
