Abstract

Through multiple simulations and statistics of its capacity deficit data, the basic value of the energy storage capacity that can cover most wind conditions is determined. Considering that during the black start process, other aspects other than the plant electricity also occupy the energy storage capacity, and the capacity compensation is made in the calculation. Finally, the verification model shows that its energy storage capacity configuration can support the black start task of the auxiliary plant in the area under most wind conditions and has certain economic efficiency.

Highlights

  • In an environment where microgrids are becoming more and more popular, it is of great significance to consider using wind storage systems as black start power sources for power plants

  • Energy storage plays an irreplaceable role in achieving stable power quality output and power support for wind power

  • Energy storage capacity configuration is usually divided into two main categories, namely theoretical analysis and simulation methods

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Summary

Introduction

In an environment where microgrids are becoming more and more popular, it is of great significance to consider using wind storage systems as black start power sources for power plants. The theoretical analysis method generally analyzes the volatility of wind power based on historical data and extracts features, and mathematically models the power and capacity of energy storage based on the features of power fluctuations. Literature [3] established the basic output calculation model of the microgrid group, and carried out the corresponding cost analysis, and elaborated the principle and calculation process of the microgrid energy storage optimization configuration based on the improved biogeographic optimization algorithm. Its basic structure is shown in Figure 1: period of time, when the maximum power of the wind farm at the wind speed is reached, the excess power capacity is provided by the energy storage system to maintain the power balance

Energy storage system capacity configuration
Related parameters
Influencing factors of energy storage capacity
Black start supply and demand curve determination method
Calculation of Capacity Shortage
Capacity compensation calculation
Case analysis
Full Text
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