{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:34:02Z","timestamp":1780360442032,"version":"3.54.1"},"reference-count":50,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T00:00:00Z","timestamp":1589673600000},"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>Distributed systematic grid-connected inverter practice needs to improve insulated gate bipolar transistor (IGBT) stability to ensure the safe operation. This study is to ensure the safety and reliability operation of the IGBT module in symmetry to meet the reliable and stable distributed systematic grid-connected inverter practice and the junction temperature is a parameter to assess its operating state. It is difficult to accurately acquire the IGBT junction temperature to be solved by a single method of combining the test and the modeling. The saturation voltage drop or collector current and module junction temperature data under different power cycles are measured by the power cycle test and the single pulse test. The improved chicken swarm optimization increases the chickens diversity and self-learning ability. The prediction model of the improved chicken swarm optimization-support vector machine is proposed to forecast the module junction temperature. The result showed to compare with the particle swarm optimization-support vector machine model and chicken swarm optimization-support vector machine model and showed the coincidence degree between the proposed model prediction value and the true value is higher. The mean absolute error ratio indicates the proposed model has a smaller error and a better prediction performance. The proposed model has a positive impact on improving the distributed systematic grid-connected inverter industrial development and promotes the new energy usage.<\/jats:p>","DOI":"10.3390\/sym12050825","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T11:34:14Z","timestamp":1589801654000},"page":"825","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Distributed Systematic Grid-Connected Inverter Using IGBT Junction Temperature Predictive Control Method: An Optimization Approach"],"prefix":"10.3390","volume":"12","author":[{"given":"Zhengping","family":"Wang","sequence":"first","affiliation":[{"name":"State Grid Hengshui Electric Power Supply Company, Hengshui 053000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoyi","family":"Li","sequence":"additional","affiliation":[{"name":"State Grid Hengshui Electric Power Supply Company, Hengshui 053000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"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 City 41354, Taiwan"},{"name":"Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City 404, Taiwan"},{"name":"Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Bangi Selangor 43600 UKM, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0875-9199","authenticated-orcid":false,"given":"Wai-Peng","family":"Wong","sequence":"additional","affiliation":[{"name":"School of Management, Universiti Sains Malaysia, Penang 11800 USM, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boying","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113476","DOI":"10.1016\/j.microrel.2019.113476","article-title":"Predicting the Remaining Lifetime for Insulated Gate Bipolar Transistor Power Module using the Aging State Evaluation","volume":"102","author":"Li","year":"2019","journal-title":"Microelectron. 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