{"title":"Primal-Dual Distributed Control of Residential Thermal Loads for Voltage Regulation of Distribution Systems with High PV Penetration","authors":"Jie Cai, Zhiming Jiang","doi":"10.23919/ACC53348.2022.9867660","DOIUrl":null,"url":null,"abstract":"This paper presents a distributed control strategy of building thermal loads to enable voltage regulation of distribution networks with high photovoltaic (PV) penetration. A model predictive control approach is adopted that relies on linearized power flow and building thermal models to capture the relationship between residential loads, PV generation and feeder voltage. A primal-dual algorithm with Tikhonov regularization is proposed to solve the control problem in a distributed manner across different households. Performance of the strategy was demonstrated through a simulation study of an IEEE 33-bus test distribution network serving a prototype residential community. The strategy was proved to be effective in regulating feeder voltage within prescribed limits with additional benefits of line loss reduction; the opportunity cost for voltage regulation was found to be less than 1% for the cases study.","PeriodicalId":366299,"journal":{"name":"2022 American Control Conference (ACC)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC53348.2022.9867660","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
This paper presents a distributed control strategy of building thermal loads to enable voltage regulation of distribution networks with high photovoltaic (PV) penetration. A model predictive control approach is adopted that relies on linearized power flow and building thermal models to capture the relationship between residential loads, PV generation and feeder voltage. A primal-dual algorithm with Tikhonov regularization is proposed to solve the control problem in a distributed manner across different households. Performance of the strategy was demonstrated through a simulation study of an IEEE 33-bus test distribution network serving a prototype residential community. The strategy was proved to be effective in regulating feeder voltage within prescribed limits with additional benefits of line loss reduction; the opportunity cost for voltage regulation was found to be less than 1% for the cases study.