An Approach to Divide Wind Power Capacity Between Day-Ahead Energy and Intraday Reserve Power Markets

Wind power producers have recently gained a significant penetration in the electric power network, which might cause some challenges for the system operation due to the uncertainties in the generated power. In this way, wind power owners may offer different services, such as providing reserve capaci...

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Veröffentlicht in:IEEE systems journal 2022-03, Vol.16 (1), p.1123-1134
Hauptverfasser: Tavakkoli, Mehdi, Fattaheian-Dehkordi, Sajjad, Pourakbari-Kasmaei, Mahdi, Liski, Matti, Lehtonen, Matti
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container_issue 1
container_start_page 1123
container_title IEEE systems journal
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creator Tavakkoli, Mehdi
Fattaheian-Dehkordi, Sajjad
Pourakbari-Kasmaei, Mahdi
Liski, Matti
Lehtonen, Matti
description Wind power producers have recently gained a significant penetration in the electric power network, which might cause some challenges for the system operation due to the uncertainties in the generated power. In this way, wind power owners may offer different services, such as providing reserve capacity besides their conventional role of delivering just energy. Currently, conventional generators are the main responsible for providing some reserve in case of uncertainty in renewable generation and demand changes. Therefore, this article introduces a novel approach that allows wind power producers to participate in both energy and reserve markets alongside conventional generators. A two-stage stochastic programming model is deployed for this purpose and the proposed approach is examined on the IEEE RTS 24-bus. The simulation results demonstrate that for ensuring a higher level of reliability by the suggested scheme, both conventional generators and wind power producers will receive more revenue in both markets, although the demands should pay more.
doi_str_mv 10.1109/JSYST.2020.3032656
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source IEEE Electronic Library (IEL)
subjects energy market
Generators
Optimization
optimization programming
Power systems
Reserve capacity
reserve market
Stochastic models
Stochastic processes
Stochastic programming
Uncertainty
Wind forecasting
Wind power
Wind power generation
Wind power producers
title An Approach to Divide Wind Power Capacity Between Day-Ahead Energy and Intraday Reserve Power Markets
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