{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:17:13Z","timestamp":1777702633957,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"4","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":[[2014,4]]},"abstract":"<jats:p>As a perspective to ensure the power system stability and to avoid the vulnerability leading to the blackouts, several strategies are adopted. In order to avoid the voltage collapse, load shedding schemes represent a suitable action to maintain the power system service quality and to control its vulnerability. In this paper, we propose a new approach of a load shedding strategy based on fuzzy controllers. This strategy was founded on the calculation of generated power sensitivity degree related to voltage level at different network buses. During the fault phase, fuzzy controller algorithms generate monitor vectors ensuring a pre-calculated load shedding ratio in the purpose to reestablish the power balance and avoid the appearance of the collapse phenomenon.<\/jats:p>","DOI":"10.3233\/ifs-130864","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T18:26:24Z","timestamp":1575311184000},"page":"1845-1856","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fuzzy load shedding strategy based on the anticipation of the point of voltage collapse"],"prefix":"10.1177","volume":"26","author":[{"given":"Kamel","family":"Jemai","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, High Institute of Applied Sciences And Technology, ISSAT-Gab\u00e8s, Tunisia"}]},{"given":"Hafedh","family":"Trabelsi","sequence":"additional","affiliation":[{"name":"National School of Engineers of Sfax ENIS, Tunisia"}]},{"given":"Abdelaziz","family":"Ouederni","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, High Institute of Applied Sciences And Technology, ISSAT-Gab\u00e8s, Tunisia"}]}],"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-130864","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-130864","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:36:23Z","timestamp":1777455383000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-130864"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2014,4]]}},"alternative-id":["10.3233\/IFS-130864"],"URL":"https:\/\/doi.org\/10.3233\/ifs-130864","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}