{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:43:31Z","timestamp":1760402611769,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T00:00:00Z","timestamp":1579132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>With the rise of electric vehicles, the key of electric vehicle charging is how to charge them in residential areas and other closed environments. Addressing this problem is extremely important for avoiding adverse effects on the load and stability of the neighboring grids where multi-user centralized charging takes place. Therefore, we propose a charging dynamic scheduling algorithm based on user bidding. First, we determine the user charging priority according to bidding. Then, we design a resource allocation policy based on game theory, which could assign charge slots for users. Due to users leaving and urgent user needs, we found an alternate principle that can improve the flexibility slot utilization of charging. Simulation results show that the algorithm could meet the priority needs of users with higher charging prices and timely responses to requests. Meanwhile, this algorithm can ensure orderly electric vehicle charging, improve power utilization efficiency, and ease pressure on grid loads.<\/jats:p>","DOI":"10.3390\/info11010049","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T07:39:02Z","timestamp":1579246742000},"page":"49","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Ordered Electric Vehicles Charging Scheduling Algorithm Based on Bidding in Residential Area"],"prefix":"10.3390","volume":"11","author":[{"given":"Xiao","family":"Cheng","sequence":"first","affiliation":[{"name":"Institute of Economy Technology, State Grid Anhui Electric Power Co., Ltd., Hefei 230071, China"}]},{"given":"Jinma","family":"Sheng","sequence":"additional","affiliation":[{"name":"Institute of Economy Technology, State Grid Anhui Electric Power Co., Ltd., Hefei 230071, China"}]},{"given":"Xiuting","family":"Rong","sequence":"additional","affiliation":[{"name":"Institute of Economy Technology, State Grid Anhui Electric Power Co., Ltd., Hefei 230071, China"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Economy Technology, State Grid Anhui Electric Power Co., Ltd., Hefei 230071, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3494-5590","authenticated-orcid":false,"given":"Lei","family":"Feng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3945-0706","authenticated-orcid":false,"given":"Sujie","family":"Shao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,16]]},"reference":[{"key":"ref_1","unstructured":"Wang, J., Han, P., and Han, Y.H. 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(2015, January 18\u201320). EV Charging Algorithm Implementation with User Price Preference. Proceedings of the 2015 IEEE Power and Energy Society Innovative Smart Grid Technology Conference (ISGT), Washington, DC, USA.","DOI":"10.1109\/ISGT.2015.7131895"},{"key":"ref_17","first-page":"44","article-title":"Analysis of the Measured Charging Load of Electric Vehicle in Residential Area","volume":"14","author":"Zhang","year":"2012","journal-title":"Power Demand Side Manag."},{"key":"ref_18","unstructured":"Huang, X.L., Chen, L.X., and Chen, Z. (2015). A Fast Charge Station Queuing Algorithm for Electric Vehicles on Freeway. (CN201510623798.X), China Patent."},{"key":"ref_19","unstructured":"Tan, Y. (2015). Research on Multi-Tenant Resource Allocation Based on Game, Guangxi University."},{"key":"ref_20","first-page":"150","article-title":"An Approach to Allocate Grid Resources Based on Bidding","volume":"4","author":"Wang","year":"2011","journal-title":"China Sci. Technol. Inf."},{"key":"ref_21","first-page":"241","article-title":"Application Research of Network Resource Allocation Algorithm Based on Non-Cooperative Bidding Game","volume":"34","author":"Tao","year":"2006","journal-title":"Tien Tzu Hsueh Pao"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/1\/49\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:43:14Z","timestamp":1760362994000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/11\/1\/49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,16]]},"references-count":21,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,1]]}},"alternative-id":["info11010049"],"URL":"https:\/\/doi.org\/10.3390\/info11010049","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2020,1,16]]}}}