{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:19:29Z","timestamp":1777702769505,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2014,8]]},"abstract":"<jats:p>This paper proposes an evolutionary multi-objective optimization approach for load frequency control in interconnected power systems. The design purpose is to improve the dynamic response of an interconnected power system after load demand changes. A genetic algorithm (GA)-based solution technique is applied to generate a Pareto set of global optimal solutions to the given multi-objective optimization problem. In addition, the best compromise solution from the obtained Pareto solution set is selected by a fuzzy-based membership value assignment method. Simulation results are presented and compared with conventional GA-PID controller and another new controller. All the simulations show the successful performance of proposed approach in controlling the frequency of the power system.<\/jats:p>","DOI":"10.3233\/ifs-131029","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T18:42:41Z","timestamp":1575312161000},"page":"709-716","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Design of PID controller using multi-objective genetic algorithm for load frequency control in interconnected power systems"],"prefix":"10.1177","volume":"27","author":[{"given":"Mohsen","family":"Farahani","sequence":"first","affiliation":[{"name":"Sama Technical and Vocational Training College, Islamic Azad University, Karaj Branch, Karaj, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-131029","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-131029","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:36:51Z","timestamp":1777455411000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-131029"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,8]]}},"alternative-id":["10.3233\/IFS-131029"],"URL":"https:\/\/doi.org\/10.3233\/ifs-131029","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}