{"title":"适应大规模可再生能源的机会约束市场出清模型","authors":"L. Yao, Jiangtao Li, Jinhui Duan, Xiaocong Liu","doi":"10.1109/AEEES51875.2021.9403090","DOIUrl":null,"url":null,"abstract":"The market clearing tool is critical for the day-ahead electric energy market. In this paper, we propose a chance-constrained market clearing model for the day-ahead electric energy markets in China. To accommodate large-scale renewable energy, we employ chance-constraints to manage risk and set affine policy as the units' control strategy reacting to uncertainties from variable renewable energy plants. A modified 118-bus system is utilized to test the performance of the proposed approach.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chance-Constrained Market Clearing Model for Accommodating Large-Scale Renewable Energy\",\"authors\":\"L. Yao, Jiangtao Li, Jinhui Duan, Xiaocong Liu\",\"doi\":\"10.1109/AEEES51875.2021.9403090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The market clearing tool is critical for the day-ahead electric energy market. In this paper, we propose a chance-constrained market clearing model for the day-ahead electric energy markets in China. To accommodate large-scale renewable energy, we employ chance-constraints to manage risk and set affine policy as the units' control strategy reacting to uncertainties from variable renewable energy plants. A modified 118-bus system is utilized to test the performance of the proposed approach.\",\"PeriodicalId\":356667,\"journal\":{\"name\":\"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES51875.2021.9403090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES51875.2021.9403090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chance-Constrained Market Clearing Model for Accommodating Large-Scale Renewable Energy
The market clearing tool is critical for the day-ahead electric energy market. In this paper, we propose a chance-constrained market clearing model for the day-ahead electric energy markets in China. To accommodate large-scale renewable energy, we employ chance-constraints to manage risk and set affine policy as the units' control strategy reacting to uncertainties from variable renewable energy plants. A modified 118-bus system is utilized to test the performance of the proposed approach.
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