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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10556595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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