{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T21:32:37Z","timestamp":1767648757276,"version":"3.38.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T00:00:00Z","timestamp":1558569600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51507022"],"award-info":[{"award-number":["51507022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> The time-varying characteristics of electric vehicle (EV) controllable energy and the rationality of frequency regulation (FR) demand power allocation have significant influences on participating in system FR. Combined with the state transition characteristics of EVs, the calculation models of real-time controllable quantities and real-time controllable energy of EVs are established. Then, considering the dynamic changes of EVs\u2019 controllable energy, the system FR strategy with real-time adjusting scheme of FR coefficients is put forward. Finally, based on the unit participation time contribution, the selecting strategy for individual EVs to participate in FR is proposed. The simulation results show that based on the calculation of EVs\u2019 real-time controllable energy, the proposed load frequency control model with real-time allocation of FR demand power suppresses the frequency deviation effectively, and the private electric car is found to have the most potential for the FR system. <\/jats:p>","DOI":"10.1177\/0142331219849262","type":"journal-article","created":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T08:18:16Z","timestamp":1558599496000},"page":"42-54","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Real-time adjustment of load frequency control based on controllable energy of electric vehicles"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5487-0173","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, China"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, China"}]},{"given":"Chen","family":"Li","sequence":"additional","affiliation":[{"name":"EHV Power Transmission Company, China Southern Power Grid Co Ltd, Guangzhou, China"}]},{"given":"Chun-yan","family":"Li","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, China"}]}],"member":"179","published-online":{"date-parts":[[2019,5,23]]},"reference":[{"key":"bibr1-0142331219849262","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2015.05.026"},{"key":"bibr2-0142331219849262","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2162009"},{"key":"bibr3-0142331219849262","unstructured":"Beijing Transport Institute (2017) Beijing Transportation Development Annual Report 2017. 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