Hong Hu, Guangfeng Bu, Xiang Yu, Bin Gu, Wei Che, Bingyue Peng, Chen Zhang, E. Song
{"title":"Research on Peak Load Optimization Model Considering Interruptible Load at Peak Time","authors":"Hong Hu, Guangfeng Bu, Xiang Yu, Bin Gu, Wei Che, Bingyue Peng, Chen Zhang, E. Song","doi":"10.1109/CICED.2018.8592493","DOIUrl":null,"url":null,"abstract":"As an important measure of demand response, the interruptible load can be equivalent to a virtual generation unit, which relieves the stress of power supply in peak period and decrease the frequency of start-up and shutdown for the peak shaving unit. An optimization model based on unit commitment is presented in this paper considering the available resources on both the power generation and demand sides comprehensively. It considers the ILH (interruptible load with high compensation) as a reserve participating in the peak shaving process. The model is divided into two parts. The outer layer determines the peak period in which the interruptible load can participate in system peak shaving by adjusting the amount of operating peaking unit. The inner layer considers the constraints such as the total interruption time, the number of interruptions, and the interruption amount for optimizing dispatch among multiple interruptible users during peak period. The results of calculation examples show that under the premise of ensuring the safe and stable operation of the system, the participation of ILH in the peak period of peak regulation can reduce the number of peaking units and reduce the system operation costs.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED.2018.8592493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As an important measure of demand response, the interruptible load can be equivalent to a virtual generation unit, which relieves the stress of power supply in peak period and decrease the frequency of start-up and shutdown for the peak shaving unit. An optimization model based on unit commitment is presented in this paper considering the available resources on both the power generation and demand sides comprehensively. It considers the ILH (interruptible load with high compensation) as a reserve participating in the peak shaving process. The model is divided into two parts. The outer layer determines the peak period in which the interruptible load can participate in system peak shaving by adjusting the amount of operating peaking unit. The inner layer considers the constraints such as the total interruption time, the number of interruptions, and the interruption amount for optimizing dispatch among multiple interruptible users during peak period. The results of calculation examples show that under the premise of ensuring the safe and stable operation of the system, the participation of ILH in the peak period of peak regulation can reduce the number of peaking units and reduce the system operation costs.