{"title":"Maximizing hosting capacity of renewable energy sources in unbalanced distribution networks using multi-objective optimization approach","authors":"Abdallah Nazih, Adel A.Abou El-Ela, Eman S. Ali","doi":"10.1016/j.epsr.2025.111458","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, an effective optimization method is proposed based on whale optimization algorithm (WOA) to maximize renewable energy sources hosting capacity (HC) under uncertain conditions in unbalanced distribution networks. Therefore, multi-objective optimization problem is formulated to maximize distributed generators (DGs) HC besides maximizing losses and voltage unbalance reduction percentages. Matrix-based backward/forward sweep method is utilized for implementing the power flow computations in unbalanced networks. Photovoltaic (PV) and wind turbines (WT) DGs are optimally allocated by determining DGs sizes, locations, power factors and connection phases. Uncertainty of PV, WT and load demands are considered. Reduction criterion is employed to reduce numerous numbers of uncertain scenarios. The proposed WOA is evaluated with IEEE 13-node and 123-node unbalanced test feeders at different cases studied to validate its effectiveness. In IEEE 13-node system, HC reaches 3.421 MW with reduction in losses and voltage unbalance by 64.75 % and 15.03 %, respectively. In IEEE 123-node system, HC reaches 2.541 MW with reduction in losses and voltage unbalance by 61.64 % and 3.68 %, respectively. Moreover, Wilcoxon statistical tests are performed, and a comparative study is demonstrated with well-known metaheuristic algorithm to verify the proposed WOA performance. Attained results emphasize the efficacy and appliance of proposed WOA.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"242 ","pages":"Article 111458"},"PeriodicalIF":3.3000,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625000513","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, an effective optimization method is proposed based on whale optimization algorithm (WOA) to maximize renewable energy sources hosting capacity (HC) under uncertain conditions in unbalanced distribution networks. Therefore, multi-objective optimization problem is formulated to maximize distributed generators (DGs) HC besides maximizing losses and voltage unbalance reduction percentages. Matrix-based backward/forward sweep method is utilized for implementing the power flow computations in unbalanced networks. Photovoltaic (PV) and wind turbines (WT) DGs are optimally allocated by determining DGs sizes, locations, power factors and connection phases. Uncertainty of PV, WT and load demands are considered. Reduction criterion is employed to reduce numerous numbers of uncertain scenarios. The proposed WOA is evaluated with IEEE 13-node and 123-node unbalanced test feeders at different cases studied to validate its effectiveness. In IEEE 13-node system, HC reaches 3.421 MW with reduction in losses and voltage unbalance by 64.75 % and 15.03 %, respectively. In IEEE 123-node system, HC reaches 2.541 MW with reduction in losses and voltage unbalance by 61.64 % and 3.68 %, respectively. Moreover, Wilcoxon statistical tests are performed, and a comparative study is demonstrated with well-known metaheuristic algorithm to verify the proposed WOA performance. Attained results emphasize the efficacy and appliance of proposed WOA.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.