{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T14:57:50Z","timestamp":1767193070763,"version":"3.48.0"},"reference-count":41,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:00:00Z","timestamp":1767139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Hebei Provincial Key Laboratory of Financial Technology Application, Hebei Finance University","award":["2024001"],"award-info":[{"award-number":["2024001"]}]},{"name":"Hebei Provincial Key Laboratory of Financial Technology Application, Hebei Finance University","award":["2025004"],"award-info":[{"award-number":["2025004"]}]},{"name":"\u201cOpen bidding for selecting the best candidates\u201d project of Hebei Finance University","award":["JB2025011"],"award-info":[{"award-number":["JB2025011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Under the \u201cdual carbon\u201d goals, enhancing the energy supply for communication base stations is crucial for energy conservation and emission reduction. An individual base station with wind\/photovoltaic (PV)\/storage system exhibits limited scalability, resulting in poor economy and reliability. To address this, a collaborative power supply scheme for communication base station group is proposed. This paper establishes a capacity optimization configuration model for such integrated system and introduces a hybrid solution methodology combining random scenario analysis, Nondominated Sorting Genetic Algorithm II (NSGA-II), and Generalized Power Mean (GPM). Typical scenarios are solved using NSGA-II to generate a candidate solution set, which is then refined under operational constraints. The GPM method is applied to determine the final configuration by accounting for attribute correlations. A case study on a Chinese base station group, considering uncertainties in renewable generation, demonstrates the feasibility and effectiveness of the proposed approach.<\/jats:p>","DOI":"10.3390\/info17010023","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T14:33:25Z","timestamp":1767191605000},"page":"23","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Capacity Optimization Configuration of Wind\/PV\/Storage Power Supply System for Communication Base Station Group"],"prefix":"10.3390","volume":"17","author":[{"given":"Ximei","family":"Hu","sequence":"first","affiliation":[{"name":"School of Information and Artificial Intelligence, Hebei Finance University, Baoding 071002, China"},{"name":"Hebei Key Laboratory of Financial Technology Application, Baoding 071051, China"},{"name":"School of Economics and Management, North China Electric Power University, Beijing 102206, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxia","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, North China Electric Power University, Beijing 102206, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"He","sequence":"additional","affiliation":[{"name":"School of Information and Artificial Intelligence, Hebei Finance University, Baoding 071002, China"},{"name":"Hebei Key Laboratory of Financial Technology Application, Baoding 071051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6977","DOI":"10.1109\/TCOMM.2022.3202167","article-title":"Networked energy cooperation in dual powered green cellular networks","volume":"70","author":"Balakrishnan","year":"2022","journal-title":"IEEE Trans. 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