Yi Su, Hui Liu, Ni Wang, Zhiqiang Luo, Y. Su, Haimin Xie
{"title":"具有小信号稳定性约束的电动汽车双层最优调度策略","authors":"Yi Su, Hui Liu, Ni Wang, Zhiqiang Luo, Y. Su, Haimin Xie","doi":"10.1109/EI256261.2022.10116773","DOIUrl":null,"url":null,"abstract":"To reduce the regulation pressure of generator with small-signal disturbance, a bi-level optimal scheduling strategy for electric vehicles (EVs) with small-signal stability constraints is proposed. The upper optimization model aims at minimizing the active power regulation of the generators and optimizes the scheduling plans of EVs agents by optimal power flow. The lower optimization model takes the charging demand of EVs users as the goal, optimizes the charge/discharge power of EVs under the constraints of the upper scheduling plans. The proposed strategy can improve the small-signal stability of power grid. Meanwhile, it reduces the regulation of the generator and ensures the charging demand of EVs users. The numerical simulation is carried out on an improved IEEE-14 bus system, the test results verify the effectiveness of the strategy.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"522 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bi-level Optimal Scheduling Strategy for Electric Vehicles with Small-Signal Stability Constraints\",\"authors\":\"Yi Su, Hui Liu, Ni Wang, Zhiqiang Luo, Y. Su, Haimin Xie\",\"doi\":\"10.1109/EI256261.2022.10116773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the regulation pressure of generator with small-signal disturbance, a bi-level optimal scheduling strategy for electric vehicles (EVs) with small-signal stability constraints is proposed. The upper optimization model aims at minimizing the active power regulation of the generators and optimizes the scheduling plans of EVs agents by optimal power flow. The lower optimization model takes the charging demand of EVs users as the goal, optimizes the charge/discharge power of EVs under the constraints of the upper scheduling plans. The proposed strategy can improve the small-signal stability of power grid. Meanwhile, it reduces the regulation of the generator and ensures the charging demand of EVs users. The numerical simulation is carried out on an improved IEEE-14 bus system, the test results verify the effectiveness of the strategy.\",\"PeriodicalId\":413409,\"journal\":{\"name\":\"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)\",\"volume\":\"522 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EI256261.2022.10116773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10116773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bi-level Optimal Scheduling Strategy for Electric Vehicles with Small-Signal Stability Constraints
To reduce the regulation pressure of generator with small-signal disturbance, a bi-level optimal scheduling strategy for electric vehicles (EVs) with small-signal stability constraints is proposed. The upper optimization model aims at minimizing the active power regulation of the generators and optimizes the scheduling plans of EVs agents by optimal power flow. The lower optimization model takes the charging demand of EVs users as the goal, optimizes the charge/discharge power of EVs under the constraints of the upper scheduling plans. The proposed strategy can improve the small-signal stability of power grid. Meanwhile, it reduces the regulation of the generator and ensures the charging demand of EVs users. The numerical simulation is carried out on an improved IEEE-14 bus system, the test results verify the effectiveness of the strategy.