{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:47:35Z","timestamp":1776811655516,"version":"3.51.2"},"reference-count":14,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,4,4]]},"abstract":"<jats:p>With the development of science and technology, new energy technology has increasingly become a hot spot of academic research. Today, solar, nuclear, tidal and wind power generation is gradually replacing thermal power generation. Aiming at the configuration problem of traditional wind power generation, this research will optimize the control of wind turbine generator sets, so as to realize the configuration optimization of the entire distribution network. In this study, a MOG (MOG) algorithm control optimization method was introduced. First, each scenario is constructed, and components such as centralized wind power plants are configured and controlled through the internal power flow program; then, decision variables are defined, and three objective functions with trade-off relationships are constructed. Finally, the MOG algorithm is used for iterative solution, and the point with the lowest violation cost is selected as the optimal solution. Simulation experiments including three different configuration scenarios were conducted in MATLAB environment for comparing the influence of different connection modes on distribution network. According to experimental results, the effectiveness of the proposed method is verified and it is proved that the proposed method can be applied to complex distribution networks.<\/jats:p>","DOI":"10.3233\/jcm226582","type":"journal-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T11:23:20Z","timestamp":1669721000000},"page":"1053-1068","source":"Crossref","is-referenced-by-count":0,"title":["Multi-objective genetic algorithm-based wind turbines control"],"prefix":"10.66113","volume":"23","author":[{"given":"Jintian","family":"Yin","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan, China"},{"name":"Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University, Shaoyang, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan, China"},{"name":"Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University, Shaoyang, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihua","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan, China"},{"name":"Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University, Shaoyang, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riheng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan, China"},{"name":"Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University, Shaoyang, Hunan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"24","key":"10.3233\/JCM226582_ref2","first-page":"177","article-title":"Parameter design of distributed power flow controller for microgrid based on artificial fish swarm algorithm","volume":"19","author":"Zhang","year":"2019","journal-title":"Sci Technol Eng."},{"issue":"1","key":"10.3233\/JCM226582_ref3","first-page":"134","article-title":"Joint optimization control of active and reactive power for DSTATCOM with battery storage system","volume":"44","author":"Liu","year":"2020","journal-title":"Auto Electr Power Syst."},{"issue":"4","key":"10.3233\/JCM226582_ref4","first-page":"335","article-title":"A control strategy for battery-ultracapacitor hybrid energy storage system","volume":"29","author":"Zhang","year":"2014","journal-title":"Trans China Electrotech Soc."},{"issue":"10","key":"10.3233\/JCM226582_ref5","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1049\/iet-rpg.2016.0938","article-title":"Optimum sizing and allocation of battery storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries","volume":"11","author":"Mehmood","year":"2017","journal-title":"IET Renewable Power Gener."},{"issue":"12","key":"10.3233\/JCM226582_ref6","doi-asserted-by":"crossref","first-page":"3060","DOI":"10.1049\/iet-gtd.2016.0192","article-title":"Optimum capacitor placement in distribution networks regarding uncertainty in active power load and distributed generation units production","volume":"10","author":"Jannat","journal-title":"IET Gener Trans Distrib."},{"issue":"3","key":"10.3233\/JCM226582_ref7","first-page":"451","article-title":"Research on condition assessment method of wind turbine based on data driven","volume":"37","author":"Sun","year":"2019","journal-title":"Renewable Energy Res."},{"issue":"15","key":"10.3233\/JCM226582_ref8","first-page":"101","article-title":"Frequency regulation strategy with participation of variable-speed wind turbines for power system with high wind power penetration","volume":"43","author":"Wang","year":"2019","journal-title":"Auto Electr Power Syst."},{"issue":"7","key":"10.3233\/JCM226582_ref9","doi-asserted-by":"crossref","first-page":"398","DOI":"10.3390\/app7040398","article-title":"Bi-Level programming approach for the optimum allocation of energy storage systems in distribution networks","volume":"32","author":"Shi","year":"2017","journal-title":"Appl Sci."},{"issue":"1","key":"10.3233\/JCM226582_ref10","first-page":"72","article-title":"A fuzzy control method of voltage regulator in smart power distribution system","volume":"40","author":"Wang","year":"2016","journal-title":"Auto Electr Power Syst."},{"issue":"6","key":"10.3233\/JCM226582_ref11","first-page":"1472","article-title":"Multi-objective evolutionary algorithm based on dynamic population multi-strategy differential models","volume":"44","author":"Wang","year":"2016","journal-title":"Chin J Electr."},{"issue":"8","key":"10.3233\/JCM226582_ref12","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1016\/j.engappai.2008.05.001","article-title":"Non-linear robust identification using evolutionary algorithms: Application to a biomedical process","volume":"21","author":"Herrero","year":"2008","journal-title":"Eng Appl Artif Intell."},{"issue":"4","key":"10.3233\/JCM226582_ref13","first-page":"78","article-title":"Low rank and sparse subspace clustering algorithm for spatial sequence","volume":"26","author":"You","year":"2020","journal-title":"J Jiangsu Teachers Univ Technol."},{"issue":"7","key":"10.3233\/JCM226582_ref14","first-page":"219","article-title":"Study on performance of hybrid electromagnetic suspension with active roll stabilizer","author":"Ji","year":"2020","journal-title":"Mach Des Manuf."},{"issue":"1","key":"10.3233\/JCM226582_ref15","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1109\/TPWRS.2017.2700996","article-title":"Hierarchical voltage control of weak subtransmission networks with high penetration of wind power","volume":"33","author":"Tang","year":"2018","journal-title":"IEEE Trans Power Syst."}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM226582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:50Z","timestamp":1776809210000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM226582"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,4]]},"references-count":14,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/jcm226582","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,4]]}}}