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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University of Mohaghegh Ardabili
2017-12-01
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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 |
work_keys_str_mv |
AT mkhafri demandresponsebasedmodelforoptimaldecisionmakingfordistributionnetworks AT abadri demandresponsebasedmodelforoptimaldecisionmakingfordistributionnetworks AT aabirjandi demandresponsebasedmodelforoptimaldecisionmakingfordistributionnetworks |
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1725395697287561216 |