Demand Response Based Model for Optimal Decision Making for Distribution Networks

In this paper, a heuristic mathematical model for optimal decision-making of a Distribution Company (DisCo) is proposed that employs demand response (DR) programs in order to participate in a day-ahead market, taking into account elastic and inelastic load models. The proposed model is an extended r...

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Main Authors: M. Khafri, A. Badri, A. A. Birjandi
Format: Article
Language:English
Published: University of Mohaghegh Ardabili 2017-12-01
Series:Journal of Operation and Automation in Power Engineering
Subjects:
Online Access:http://joape.uma.ac.ir/article_593_9b15c68ed4dc89bc3fe626e9cea67a3f.pdf
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spelling doaj-a645533cd560486a9cc95d3903c9d9ef2020-11-25T00:13:13ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762423-45672017-12-015213914910.22098/joape.2017.2475.1214593Demand Response Based Model for Optimal Decision Making for Distribution NetworksM. Khafri0A. Badri1A. A. Birjandi2Shahid Rajaee UniversityShahid Rajaee UniversityShahid Rajaee UniversityIn this paper, a heuristic mathematical model for optimal decision-making of a Distribution Company (DisCo) is proposed that employs demand response (DR) programs in order to participate in a day-ahead market, taking into account elastic and inelastic load models. The proposed model is an extended responsive load modeling that is based on price elasticity and customers’ incentives in which they participate in demand response program, voluntarily and would be paid according to their declared load curtailment amounts. It is supposed that DisCo has the ability to trade with the wholesale market and it can also use its own distributed generation (DG), while decision making process. In this regard, at first, DisCo’s optimization frameworks in two cases, with and without elastic load modelings are acquired. Subsequently, utilizing Hessian matrix and mathematical optimality conditions, optimal aggregated load curtailment amounts are obtained and accordingly, individual customer’s load reductions are calculated. Furthermore, effects of DG contributions and wholesale electricity market are investigated. An IEEE 18 bus test system is employed to obtain the results and show the accuracy of the proposed model.http://joape.uma.ac.ir/article_593_9b15c68ed4dc89bc3fe626e9cea67a3f.pdfDecision makingDistribution CompanyDemand responseLoad elasticityDistributed generation
collection DOAJ
language English
format Article
sources DOAJ
author M. Khafri
A. Badri
A. A. Birjandi
spellingShingle M. Khafri
A. Badri
A. A. Birjandi
Demand Response Based Model for Optimal Decision Making for Distribution Networks
Journal of Operation and Automation in Power Engineering
Decision making
Distribution Company
Demand response
Load elasticity
Distributed generation
author_facet M. Khafri
A. Badri
A. A. Birjandi
author_sort M. Khafri
title Demand Response Based Model for Optimal Decision Making for Distribution Networks
title_short Demand Response Based Model for Optimal Decision Making for Distribution Networks
title_full Demand Response Based Model for Optimal Decision Making for Distribution Networks
title_fullStr Demand Response Based Model for Optimal Decision Making for Distribution Networks
title_full_unstemmed Demand Response Based Model for Optimal Decision Making for Distribution Networks
title_sort demand response based model for optimal decision making for distribution networks
publisher University of Mohaghegh Ardabili
series Journal of Operation and Automation in Power Engineering
issn 2322-4576
2423-4567
publishDate 2017-12-01
description In this paper, a heuristic mathematical model for optimal decision-making of a Distribution Company (DisCo) is proposed that employs demand response (DR) programs in order to participate in a day-ahead market, taking into account elastic and inelastic load models. The proposed model is an extended responsive load modeling that is based on price elasticity and customers’ incentives in which they participate in demand response program, voluntarily and would be paid according to their declared load curtailment amounts. It is supposed that DisCo has the ability to trade with the wholesale market and it can also use its own distributed generation (DG), while decision making process. In this regard, at first, DisCo’s optimization frameworks in two cases, with and without elastic load modelings are acquired. Subsequently, utilizing Hessian matrix and mathematical optimality conditions, optimal aggregated load curtailment amounts are obtained and accordingly, individual customer’s load reductions are calculated. Furthermore, effects of DG contributions and wholesale electricity market are investigated. An IEEE 18 bus test system is employed to obtain the results and show the accuracy of the proposed model.
topic Decision making
Distribution Company
Demand response
Load elasticity
Distributed generation
url http://joape.uma.ac.ir/article_593_9b15c68ed4dc89bc3fe626e9cea67a3f.pdf
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AT abadri demandresponsebasedmodelforoptimaldecisionmakingfordistributionnetworks
AT aabirjandi demandresponsebasedmodelforoptimaldecisionmakingfordistributionnetworks
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