{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:20:26Z","timestamp":1778858426384,"version":"3.51.4"},"reference-count":23,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:00:00Z","timestamp":1735776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technology Project of Power Dispatch and Control Center, Guangxi Power Grid","award":["046000KK52222033"],"award-info":[{"award-number":["046000KK52222033"]}]},{"name":"Technology Project of Power Dispatch and Control Center, Guangxi Power Grid","award":["52362052"],"award-info":[{"award-number":["52362052"]}]},{"name":"Technology Project of Power Dispatch and Control Center, Guangxi Power Grid","award":["52377103"],"award-info":[{"award-number":["52377103"]}]},{"name":"Technology Project of Power Dispatch and Control Center, Guangxi Power Grid","award":["20232BAB204065"],"award-info":[{"award-number":["20232BAB204065"]}]},{"name":"National Natural Science Foundation of China","award":["046000KK52222033"],"award-info":[{"award-number":["046000KK52222033"]}]},{"name":"National Natural Science Foundation of China","award":["52362052"],"award-info":[{"award-number":["52362052"]}]},{"name":"National Natural Science Foundation of China","award":["52377103"],"award-info":[{"award-number":["52377103"]}]},{"name":"National Natural Science Foundation of China","award":["20232BAB204065"],"award-info":[{"award-number":["20232BAB204065"]}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["046000KK52222033"],"award-info":[{"award-number":["046000KK52222033"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["52362052"],"award-info":[{"award-number":["52362052"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["52377103"],"award-info":[{"award-number":["52377103"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20232BAB204065"],"award-info":[{"award-number":["20232BAB204065"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>To achieve the optimal solution between construction costs and carbon emissions in the multi-target optimization scheduling, this paper proposes a multi-objective optimization scheduling design for wind\u2013solar energy storage microgrids based on an improved oppositional gradient grey wolf optimization (OGGWO) algorithm. First, two new features were added to the traditional grey wolf optimization (GWO) algorithm to solve the multi-target optimization scheduling of grid-connected microgrids, aiming to improve solution quality and convergence speed. Furthermore, Gaussian walk and L\u00e9vy flight are introduced to enhance the search capability of the proposed OGGWO algorithm. This method expands the search range while sacrificing only a small amount of search speed, contributing to obtaining the global optimal solution. Finally, the gradient direction is considered in the feature search process, allowing for a comprehensive understanding of the search space, which facilitates achieving the global optimum. Experimental results indicate that, compared to traditional methods, the proposed improved OGGWO algorithm can achieve standard deviations of 4.88 and 4.46 in two different scenarios, demonstrating significant effectiveness in reducing costs and pollution.<\/jats:p>","DOI":"10.3390\/a18010013","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T06:05:10Z","timestamp":1735797910000},"page":"13","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-Objective Optimization Scheduling of a Wind\u2013Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm"],"prefix":"10.3390","volume":"18","author":[{"given":"Dong","family":"Mo","sequence":"first","affiliation":[{"name":"Power Dispatch and Control Center, Guangxi Power Grid, Nanning 530023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuwen","family":"Li","sequence":"additional","affiliation":[{"name":"Power Dispatch and Control Center, Guangxi Power Grid, Nanning 530023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Sun","sequence":"additional","affiliation":[{"name":"Power Dispatch and Control Center, Guangxi Power Grid, Nanning 530023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixin","family":"Zhuo","sequence":"additional","affiliation":[{"name":"Power Dispatch and Control Center, Guangxi Power Grid, Nanning 530023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangming","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111168","DOI":"10.1016\/j.est.2024.111168","article-title":"Distributed optimal operation of PV-storage-load micro-grid considering renewable and load uncertainties","volume":"86","author":"Yin","year":"2024","journal-title":"J. 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