Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets

Distributed Energy Resources (DER) are small-scale power generation and storage technologies located close to the customer side. One of the DER is wind power generation which is a valuable supplement for the conventional energy sources. The integration of intermittent wind generation in power system...

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Main Authors: Tahmasebi M., Pasupuleti J.
Other Authors: 55945605900
Format: Article
Published: Engineering and Scientific Research Groups 2023
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spelling my.uniten.dspace-221252023-05-16T10:47:37Z Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets Tahmasebi M. Pasupuleti J. 55945605900 11340187300 Distributed Energy Resources (DER) are small-scale power generation and storage technologies located close to the customer side. One of the DER is wind power generation which is a valuable supplement for the conventional energy sources. The integration of intermittent wind generation in power system requires the inclusion of more inventive and sophisticated methods for the planning of power system operation. At a high penetration level, additional reserve capacity intervention is necessary to cover the shortage in generation when a sudden variation of wind occurs. One of the strategies that can be offered to solve this problem is the use of electrical energy storage. A new technology of electric energy storage is Natrium sulfur (NaS) battery system. Lately, this technology is intensely considered because of its sufficient technological maturity and less environmental impact. This work focuses on the economic operation of generation company (Genco) consisting of wind power plant (WPP) and NaS battery plant (NaSP) in a competitive electricity market and the WPP intermittent coverage. The researcher in this paper uses Self-Scheduling (SS) method to derive maximum expected profit from the Energy and Spinning Reserve Markets. The self-scheduling problem of the Genco is formulated and solved as a mixed integer nonlinear programming (MINLP) problem. The numerical results for a case study are presented in this paper. © JES 2014. Final 2023-05-16T02:47:36Z 2023-05-16T02:47:36Z 2014 Article 2-s2.0-84901996802 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901996802&partnerID=40&md5=f53840a4221b16f18cc6a60958e66390 https://irepository.uniten.edu.my/handle/123456789/22125 10 2 156 167 Engineering and Scientific Research Groups Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Distributed Energy Resources (DER) are small-scale power generation and storage technologies located close to the customer side. One of the DER is wind power generation which is a valuable supplement for the conventional energy sources. The integration of intermittent wind generation in power system requires the inclusion of more inventive and sophisticated methods for the planning of power system operation. At a high penetration level, additional reserve capacity intervention is necessary to cover the shortage in generation when a sudden variation of wind occurs. One of the strategies that can be offered to solve this problem is the use of electrical energy storage. A new technology of electric energy storage is Natrium sulfur (NaS) battery system. Lately, this technology is intensely considered because of its sufficient technological maturity and less environmental impact. This work focuses on the economic operation of generation company (Genco) consisting of wind power plant (WPP) and NaS battery plant (NaSP) in a competitive electricity market and the WPP intermittent coverage. The researcher in this paper uses Self-Scheduling (SS) method to derive maximum expected profit from the Energy and Spinning Reserve Markets. The self-scheduling problem of the Genco is formulated and solved as a mixed integer nonlinear programming (MINLP) problem. The numerical results for a case study are presented in this paper. © JES 2014.
author2 55945605900
author_facet 55945605900
Tahmasebi M.
Pasupuleti J.
format Article
author Tahmasebi M.
Pasupuleti J.
spellingShingle Tahmasebi M.
Pasupuleti J.
Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
author_sort Tahmasebi M.
title Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
title_short Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
title_full Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
title_fullStr Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
title_full_unstemmed Self-scheduling of joint wind power and NaS battery plants in spinning reserve and energy markets
title_sort self-scheduling of joint wind power and nas battery plants in spinning reserve and energy markets
publisher Engineering and Scientific Research Groups
publishDate 2023
_version_ 1806424347185774592
score 13.222552