Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Operation Strategies for Coordinating Battery Energy Storage with Wind Power Generation and Their Effects on System Reliability
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Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

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    Abstract:

    The variability of wind power generation requires the allocation of a flexible energy reserve which is capable of compensating for possible imbalances between the load and generation. To reduce the variability of wind power generation and loss of load in generation deficit, we propose operation strategies for coordinating battery energy storage with wind power generation. The effects of the operation strategies on system reliability are evaluated by the developed computation model that represents the main aspects and operation limitations of the batteries. The performance evaluation of the power system is based on the composite reliability indices of loss of load probability (LOLP) and expected energy not supplied (EENS), which is calculated through sequential Monte Carlo simulation. Tests are performed by the developed model with a tutorial system consisting of five busbars and the IEEE RTS system. The results show that the use of large-scale batteries is an alternative to physically guarantee the wind power plants and to act as an operation reserve to reduce the risk of loss of load.

    表 4 Table 4
    表 5 Table 5
    表 1 Table 1
    表 8 Table 8
    表 2 Table 2
    图1 Variation of LOLP with CF and storage capacity.Fig.1
    图2 Reliability worsening using operation strategy 1. (a) Power generation and system load during failure of thermal power plant. (b) Load shedding during failure of thermal power plant.Fig.2
    图3 Elimination of reliability worsening using operation strategy 2. (a) Power generation and system load during failure of thermal power plant. (b) Load shedding during failure of thermal power plant.Fig.3
    图4 PBP and POP in each market using battery costs of 2019.Fig.4
    图5 PBP and POP in each market using battery costs of 2030.Fig.5
    图6 Reduction of EENS index with CF of 25%.Fig.6
    图7 Reduction of EENS index with CF of 51%.Fig.7
    图8 IEEE RTS system of two regions with different winds.Fig.8
    表 7 Table 7
    表 6 Table 6
    表 3 Table 3
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History
  • Received:July 23,2019
  • Online: January 22,2021