Abstract

With the increasing participation of wind generation in the power system, a wind power plant (WPP) with an energy storage system (ESS) has become one of the options available for a black-start power source. In this article, a method for the energy storage configuration used for black-start is proposed. First, the energy storage capacity for starting a single turbine was determined. Then, a hierarchical planning model was established. This model did not consider the starting efficiency of the WPP, but it did consider the layout of the energy storage in the WPP and the balance of the terminal voltage when starting the WPP. Finally, the feasibility and value of the proposed method and model were verified in a 49.5 MW WPP with an ESS (a power rating of 2.24 MW and energy capacity of about 1.68 MWh). The result suggests that configuring an ESS with a small capacity on the side of the turbine can achieve black-start for a WPP with an ESS as the power source.

Highlights

  • While power systems benefit greatly from large-scale interconnections [1], they have the potential for a risk of blackout due to natural disasters, equipment failures, maloperation, and grid-connected renewable energy sources [2,3]

  • The key technology of black-start [7], the subsystem partitioning based on self-starting power [8], and the optimization of the network framework reconfiguration around the recovery sequence of wind turbines [9,10] have been studied to various degrees

  • A method for energy storage configuration based on the analytic hierarchy process (AHP) is proposed

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Summary

Introduction

While power systems benefit greatly from large-scale interconnections [1], they have the potential for a risk of blackout due to natural disasters, equipment failures, maloperation, and grid-connected renewable energy sources [2,3]. Black-start, the procedure to restore a power system by self-starting black-start units, is the most important task after a large-area blackout [6]. A black-start strategy that starts multiple self-starting power sources at the same time can improve the recovery efficiency of power grid. To this point, the key technology of black-start [7], the subsystem partitioning based on self-starting power [8], and the optimization of the network framework reconfiguration around the recovery sequence of wind turbines [9,10] have been studied to various degrees.

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