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A two-stage SCUC model for distribution networks considering uncertainty and demand response

Demand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constra...

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Detalles Bibliográficos
Autores principales: Wang, Fei, Gan, Lei, Zhang, Pengchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556595/
https://www.ncbi.nlm.nih.gov/pubmed/37810800
http://dx.doi.org/10.1016/j.heliyon.2023.e20189
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author Wang, Fei
Gan, Lei
Zhang, Pengchao
author_facet Wang, Fei
Gan, Lei
Zhang, Pengchao
author_sort Wang, Fei
collection PubMed
description Demand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constrained unit commitment (SCUC) model is established by optimizing the real-time pricing mechanism to indirectly adjust the DR. Firstly, the uncertainty of wind power output is modeled based on self-organizing map (SOM), and the component failure of the power system is modeled based on Monte Carlo. Then, a pricing scheme is proposed to stimulate users' electricity consumption behavior. Finally, the marine predator algorithm is used to solve the problem. Simulation results on IEEE-RTS system show that the proposed method can reduce the total operating cost by 10%, effectively stimulate the electricity consumption behavior of users, to improve the peak load shifting and valley filling capacity of the power system.
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spelling pubmed-105565952023-10-07 A two-stage SCUC model for distribution networks considering uncertainty and demand response Wang, Fei Gan, Lei Zhang, Pengchao Heliyon Research Article Demand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constrained unit commitment (SCUC) model is established by optimizing the real-time pricing mechanism to indirectly adjust the DR. Firstly, the uncertainty of wind power output is modeled based on self-organizing map (SOM), and the component failure of the power system is modeled based on Monte Carlo. Then, a pricing scheme is proposed to stimulate users' electricity consumption behavior. Finally, the marine predator algorithm is used to solve the problem. Simulation results on IEEE-RTS system show that the proposed method can reduce the total operating cost by 10%, effectively stimulate the electricity consumption behavior of users, to improve the peak load shifting and valley filling capacity of the power system. Elsevier 2023-09-26 /pmc/articles/PMC10556595/ /pubmed/37810800 http://dx.doi.org/10.1016/j.heliyon.2023.e20189 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wang, Fei
Gan, Lei
Zhang, Pengchao
A two-stage SCUC model for distribution networks considering uncertainty and demand response
title A two-stage SCUC model for distribution networks considering uncertainty and demand response
title_full A two-stage SCUC model for distribution networks considering uncertainty and demand response
title_fullStr A two-stage SCUC model for distribution networks considering uncertainty and demand response
title_full_unstemmed A two-stage SCUC model for distribution networks considering uncertainty and demand response
title_short A two-stage SCUC model for distribution networks considering uncertainty and demand response
title_sort two-stage scuc model for distribution networks considering uncertainty and demand response
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556595/
https://www.ncbi.nlm.nih.gov/pubmed/37810800
http://dx.doi.org/10.1016/j.heliyon.2023.e20189
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