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.


This study presented a basic model and algorithm for the reliability evaluation of a power system involving ESS and WTG. The main points of this study are summarized as follows. First of all, the effectiveness of the model was verified through a reliability evaluation conducted on a sample the power system of Jeju Island. A large-scale WTG creates huge power fluctuations and may be dangerous for the stability of the power supply. However, this danger can be reduced by installing an ESS. Second, the models could also help to determine the proper capacity of an ESS and to use it efficiently through a sensitivity analysis. ESSs are very useful for compensating the output of renewable energy sources, which have uncertainty in terms of cost and efficiency. Third, the scale of the optimum permitted output of renewable energy sources, such as wind power and solar power, can then be selected based on reliability. This provides valuable input to operation planning to increase the efficiency and reliability of renewable energy integration in a power system. Finally, the proposed models can be used to facilitate the reliability analysis of ESSs and make planning decisions to improve the economic efficiency of a power system.

Ungjin Oh

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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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