{"title":"Memetic salp swarm algorithm optimized control for operational resilience in grid-tied microgrid","authors":"Ravita Saraswat, Sathans Suhag","doi":"10.1016/j.suscom.2025.101195","DOIUrl":null,"url":null,"abstract":"<div><div>To ensure reliable & resilient operation of a microgrid, efficient voltage and power regulation strategies have to be in place. The instant study proposes the memetic salp swarm algorithm (MSSA) tuned fractional order proportional-integral-derivative (FOPID) control strategy towards improving operational resilience of the grid-connected microgrid, comprising solar panels, wind turbine, battery bank, and AC load, in the backdrop of solar, wind, and load uncertainties besides the eventuality of grid isolation. MATLAB® simulation results, both qualitative and quantitative, ideate effectiveness of recommended control strategy whose novelty lies in synergetic use of MSSA and FOPID, with the tuning competency of MSSA established against grey wolf optimizer (GWO) and particle swarm optimization (PSO) algorithms.</div></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"48 ","pages":"Article 101195"},"PeriodicalIF":5.7000,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537925001167","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
To ensure reliable & resilient operation of a microgrid, efficient voltage and power regulation strategies have to be in place. The instant study proposes the memetic salp swarm algorithm (MSSA) tuned fractional order proportional-integral-derivative (FOPID) control strategy towards improving operational resilience of the grid-connected microgrid, comprising solar panels, wind turbine, battery bank, and AC load, in the backdrop of solar, wind, and load uncertainties besides the eventuality of grid isolation. MATLAB® simulation results, both qualitative and quantitative, ideate effectiveness of recommended control strategy whose novelty lies in synergetic use of MSSA and FOPID, with the tuning competency of MSSA established against grey wolf optimizer (GWO) and particle swarm optimization (PSO) algorithms.
期刊介绍:
Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.