Minimization of Network Losses With Financial Incentives in Voluntary Demand Response

This paper delivers a customer voluntary demand response (CVDR) program to help the load serving entity (LSE) curtail peak demand and cutoff carbon emission. LSE provides financial incentives to customers who are willing to curtail energy consumption during peak demand hours. A bilevel problem is pr...

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Main Authors: Jun Wang, Qi Huang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8268110/
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author Jun Wang
Qi Huang
author_facet Jun Wang
Qi Huang
author_sort Jun Wang
collection DOAJ
description This paper delivers a customer voluntary demand response (CVDR) program to help the load serving entity (LSE) curtail peak demand and cutoff carbon emission. LSE provides financial incentives to customers who are willing to curtail energy consumption during peak demand hours. A bilevel problem is proposed to determine the optimal power curtailment and financial incentives to achieve equivalent minimal cost for LSE and maximal utility function for customers simultaneously. The effects of the CVDR program are examined with two benchmark radial systems: 3-bus and the IEEE 8500-Node networks. All simulations are carried out with General Algebraic Modeling System and MATLAB. Numerical studies unveil that CVDR enhances customer’s willingness in demand response program and achieve economic savings and peak shaving for LSE.
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spelling doaj.art-05ccb681100b4cedb8a685f2f334b5d52022-12-21T20:30:25ZengIEEEIEEE Access2169-35362018-01-016165151652210.1109/ACCESS.2018.27972728268110Minimization of Network Losses With Financial Incentives in Voluntary Demand ResponseJun Wang0https://orcid.org/0000-0002-3057-9047Qi Huang1Power System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaPower System Wide Area Measurement and Control of the Key Laboratory of Sichuan Province, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaThis paper delivers a customer voluntary demand response (CVDR) program to help the load serving entity (LSE) curtail peak demand and cutoff carbon emission. LSE provides financial incentives to customers who are willing to curtail energy consumption during peak demand hours. A bilevel problem is proposed to determine the optimal power curtailment and financial incentives to achieve equivalent minimal cost for LSE and maximal utility function for customers simultaneously. The effects of the CVDR program are examined with two benchmark radial systems: 3-bus and the IEEE 8500-Node networks. All simulations are carried out with General Algebraic Modeling System and MATLAB. Numerical studies unveil that CVDR enhances customer’s willingness in demand response program and achieve economic savings and peak shaving for LSE.https://ieeexplore.ieee.org/document/8268110/Customer voluntary demand response (CVDR)financial incentivesnetwork losses (NLs)willingness
spellingShingle Jun Wang
Qi Huang
Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
IEEE Access
Customer voluntary demand response (CVDR)
financial incentives
network losses (NLs)
willingness
title Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
title_full Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
title_fullStr Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
title_full_unstemmed Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
title_short Minimization of Network Losses With Financial Incentives in Voluntary Demand Response
title_sort minimization of network losses with financial incentives in voluntary demand response
topic Customer voluntary demand response (CVDR)
financial incentives
network losses (NLs)
willingness
url https://ieeexplore.ieee.org/document/8268110/
work_keys_str_mv AT junwang minimizationofnetworklosseswithfinancialincentivesinvoluntarydemandresponse
AT qihuang minimizationofnetworklosseswithfinancialincentivesinvoluntarydemandresponse