What is it about?
This paper proposes a new methodology for a probabilistic power system reliability evaluation using a Monte Carlo simulation (MCS) in case of multi energy storage system (ESS) installed at wind farms. A large-scale wind turbine generator (WTG) creates significant power fluctuations and should affect the stability, frequency control and then reliability of the power system. A high penetration of wind farms can result in unacceptable variations in the frequency and voltage in the power system. The significant power fluctuation impact of the WTG can, however, be reduced by installing an ESS. The proposed model can facilitate the reliability analysis and evaluation in a viewpoint of the contribution of each ESS installed at multiple wind farms integrated to a power system. The proposed method can also be used to assess the reasonable capacity of an ESS in the power system from a sensitivity analysis. A case study is demonstrated for the proposed model and methodology using a power system with similar size to the one in Jeju Island, South Korea.
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Why is it important?
The objective of this paper is to develop a new methodology for probabilistic reliability evaluation for the power system when Multi-ESSs are installed at multi wind farms. First of all, in order to develop a new methodology, a new model is proposed. Furthermore, the optimal operation equation of Multi-ESS coordinated with multi WTG is newly formulated in the viewpoint of reliability maximization. The method is verified by application to an actual power system on Jeju Island in South Korea. For reference, it is assumed that the wind farm is equivalent to WTG in this paper for convenient.
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This page is a summary of: A Study on Reliability Evaluation of Power System Considering Wind Generators Coordinated with Multi Energy Storage Systems, IET Generation Transmission & Distribution, December 2019, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-gtd.2018.6071.
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