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A proposed objective function combines operating, maintenance, and replacement costs, considering inflation, motivation, and annual growth. Simulations are done in two scenarios, and the proposed algorithm results are compared with particle swarm optimization (PSO) algorithm results. Simulation results prove the better performance of the proposed LSA algorithm than the PSO algorithm in reducing the microgrid operation cost. <\/jats:p>","DOI":"10.1142\/s0218126624501354","type":"journal-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T08:32:47Z","timestamp":1698395567000},"source":"Crossref","is-referenced-by-count":1,"title":["Optimal Energy Management of Parking Lots in Microgrid to Reduce Operation Cost by Dynamic Parameters Lightening Search Algorithm"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8979-8375","authenticated-orcid":false,"given":"Hamid Ghobadi","family":"Lamouki","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4645-4158","authenticated-orcid":false,"given":"Hassan","family":"Shokouhandeh","sequence":"additional","affiliation":[{"name":"Department of 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