Hongyang Zhao, Qiang Zhou, Ji Wu, Zhicheng Ma, Jinping Zhang, Xiuli Wang
{"title":"Fast Dispatch Method for Integrated Energy System Based on Time Clustering Algorithm","authors":"Hongyang Zhao, Qiang Zhou, Ji Wu, Zhicheng Ma, Jinping Zhang, Xiuli Wang","doi":"10.1109/ACPEE51499.2021.9436933","DOIUrl":null,"url":null,"abstract":"Power distribution system and water distribution system, which are usually operate independently in tradition, are both important infrastructure in modern society. Under the background of renewable energy penetration increasing and energy conservation becoming social concerns, the joint operation of power distribution system and water distribution system could reduce the overall operation cost, improve social welfare and improve the flexibility of system operation. In this paper, we model the power distribution system and water distribution system, and simplify this model based on piecewise linear method. Then we obtain the model of power-water distribution system, which is a mixed integer linear programming problem. While the joint system is complex and the time spent on solving problem is too long for engineering application. Thus, in this paper, we propose an adaptive time clustering method based on the characteristic of the net load curve of power and water. We use an iterative algorithm to decide whether two adjacent time clusters could be merged into one in the joint operation problem. The case studies that the joint day-ahead operation problem, which proves that the model and method proposed in this paper could reduce the solution time while maintain high precision. It could meet the requirement of engineering application.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9436933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Power distribution system and water distribution system, which are usually operate independently in tradition, are both important infrastructure in modern society. Under the background of renewable energy penetration increasing and energy conservation becoming social concerns, the joint operation of power distribution system and water distribution system could reduce the overall operation cost, improve social welfare and improve the flexibility of system operation. In this paper, we model the power distribution system and water distribution system, and simplify this model based on piecewise linear method. Then we obtain the model of power-water distribution system, which is a mixed integer linear programming problem. While the joint system is complex and the time spent on solving problem is too long for engineering application. Thus, in this paper, we propose an adaptive time clustering method based on the characteristic of the net load curve of power and water. We use an iterative algorithm to decide whether two adjacent time clusters could be merged into one in the joint operation problem. The case studies that the joint day-ahead operation problem, which proves that the model and method proposed in this paper could reduce the solution time while maintain high precision. It could meet the requirement of engineering application.