Yiran Dong , Jingang Wang , Yi Yang , Pei Guo , Chao Xiao , Chuanxiang Yu , Pengcheng Zhao
{"title":"Two stage voltage coordination optimization of substation − feeder area considering demand response","authors":"Yiran Dong , Jingang Wang , Yi Yang , Pei Guo , Chao Xiao , Chuanxiang Yu , Pengcheng Zhao","doi":"10.1016/j.seta.2025.104232","DOIUrl":null,"url":null,"abstract":"<div><div>A two-stage substation-feeder voltage coordination optimization strategy that incorporates demand response (DR) is proposed to address issues of reverse power flow and voltage violations in distribution networks caused by high penetration rates of distributed generation (DG). Firstly, in the first stage, focusing on voltage stability and the economics of voltage regulation equipment at the substation area, day-ahead centralized optimal scheduling of discrete equipment switching plans is performed to enhance the low-voltage (LV) side bus voltage. In the second stage, building on the first stage’s regulation scheme, the voltage quality at each feeder node is further improved through the coordinated optimal scheduling of DG, DR, energy storage systems (ESS), and reactive power regulation equipment. Subsequently, voltage optimization models for both the substation and feeder areas are constructed. The demand response is precisely modeled at the feeder area, formulated as a mixed-integer second-order conic programming problem, and solved using CPLEX. Finally, simulation results on the IEEE 33 node and IEEE 69 node system demonstrate that the proposed method reduces the number of discrete equipment actions, significantly improves voltage quality, and enhances the economy and security of distribution network operations.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104232"},"PeriodicalIF":7.1000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825000633","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
A two-stage substation-feeder voltage coordination optimization strategy that incorporates demand response (DR) is proposed to address issues of reverse power flow and voltage violations in distribution networks caused by high penetration rates of distributed generation (DG). Firstly, in the first stage, focusing on voltage stability and the economics of voltage regulation equipment at the substation area, day-ahead centralized optimal scheduling of discrete equipment switching plans is performed to enhance the low-voltage (LV) side bus voltage. In the second stage, building on the first stage’s regulation scheme, the voltage quality at each feeder node is further improved through the coordinated optimal scheduling of DG, DR, energy storage systems (ESS), and reactive power regulation equipment. Subsequently, voltage optimization models for both the substation and feeder areas are constructed. The demand response is precisely modeled at the feeder area, formulated as a mixed-integer second-order conic programming problem, and solved using CPLEX. Finally, simulation results on the IEEE 33 node and IEEE 69 node system demonstrate that the proposed method reduces the number of discrete equipment actions, significantly improves voltage quality, and enhances the economy and security of distribution network operations.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.