{"title":"基于层次分析法的荷载时间弹性识别","authors":"Yonghong Kuang, Canbing Li, Guobin Li","doi":"10.1109/ISGT.2017.8086024","DOIUrl":null,"url":null,"abstract":"Demand response is an effective measure to balance the load and generation. In this paper, time elasticity of load is proposed to evaluate the time selection of power consumption. It is obtained according to similarity between sampling load curve and typical load curve, smoothness of load curve, loss cost of load shift and proportion of load shift. Quantitative analysis of time elasticity of load is developed based on analytic hierarchy process (AHP). Case study demonstrates the effectiveness of the identification method.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification of time elasticity of load based on analytic hierarchy process\",\"authors\":\"Yonghong Kuang, Canbing Li, Guobin Li\",\"doi\":\"10.1109/ISGT.2017.8086024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Demand response is an effective measure to balance the load and generation. In this paper, time elasticity of load is proposed to evaluate the time selection of power consumption. It is obtained according to similarity between sampling load curve and typical load curve, smoothness of load curve, loss cost of load shift and proportion of load shift. Quantitative analysis of time elasticity of load is developed based on analytic hierarchy process (AHP). Case study demonstrates the effectiveness of the identification method.\",\"PeriodicalId\":296398,\"journal\":{\"name\":\"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT.2017.8086024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT.2017.8086024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of time elasticity of load based on analytic hierarchy process
Demand response is an effective measure to balance the load and generation. In this paper, time elasticity of load is proposed to evaluate the time selection of power consumption. It is obtained according to similarity between sampling load curve and typical load curve, smoothness of load curve, loss cost of load shift and proportion of load shift. Quantitative analysis of time elasticity of load is developed based on analytic hierarchy process (AHP). Case study demonstrates the effectiveness of the identification method.