{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T03:30:42Z","timestamp":1777519842707,"version":"3.51.4"},"reference-count":55,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T00:00:00Z","timestamp":1602720000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This study constructs a novel virtual synchronous generator system based on a transfer function, and optimizes the parameters of the model by using the improved whale algorithm to improve the frequency control ability of virtual synchronous generator. Virtual synchronous generator technology helps to solve the problem that the integration of large-scale renewable energy generation into the power system leads to the deterioration of system frequency stability. It can maintain the symmetry of grid-connected scale and system stability. The virtual synchronous generator technology makes the inverter to have the inertia and damping characteristics of a synchronous generator. The inverter has the inertia characteristics and damps to reduce the frequency instability of high penetration renewable energy power system. The improved whale algorithm is efficient to find the best combination of control parameters and the effectiveness of the algorithm is verified by microgrid and power system. The results show that the proposed frequency coordination control scheme suppresses the frequency deviation of power system and keep the system frequency in a reasonable range.<\/jats:p>","DOI":"10.3390\/sym12101697","type":"journal-article","created":{"date-parts":[[2020,10,17]],"date-time":"2020-10-17T07:23:22Z","timestamp":1602919402000},"page":"1697","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Renewable Energy System on Frequency Stability Control Strategy Using Virtual Synchronous Generator"],"prefix":"10.3390","volume":"12","author":[{"given":"Lingling","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China"},{"name":"Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1552-5833","authenticated-orcid":false,"given":"Hengyi","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China"},{"name":"Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2702-3590","authenticated-orcid":false,"given":"Ming-Lang","family":"Tseng","sequence":"additional","affiliation":[{"name":"Institute of Innovation and Circular Economy, Asia University, Taichung 41354, Taiwan"},{"name":"Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404322, Taiwan"},{"name":"Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Bandar Baru Bangi 43600, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huan","family":"Feng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China"},{"name":"Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2411-7302","authenticated-orcid":false,"given":"Anthony S. F.","family":"Chiu","sequence":"additional","affiliation":[{"name":"Industrial Engineering Department, Gokongwei College of Engineering, De La Salle University, Manila 0900, Philippines"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.asoc.2018.12.025","article-title":"An efficient Differential Evolution algorithm for stochastic OPF based active\u2013reactive power dispatch problem considering renewable generators","volume":"76","author":"Awad","year":"2019","journal-title":"Appl. Soft Comput. J."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Elsisi, M. (2019). New design of adaptive model predictive control for energy conversion system with wind torque effect. J. Clean. 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