Abstract
Because of wind sources’ volatility and intermittent news, wind power has made a more and more heavy burden on the power system. This paper analyzes in detail the traditional control method, parallel control strategy and serial control strategy of the wind storage system, and combines the advantages of the two to propose an optimal control strategy. A comprehensive performance evaluation method for the primary frequency regulation of the ESS participating in the power grid is proposed based on the power system operation requirements. In the example, the frequency modulation performance of the optimal control strategy is verified by the evaluation method described in this paper in the Chinese frequency adjustment market.
Highlights
The total installed capacity of wind power in China is rising
It is necessary to verify whether the configuration of the wind-storage system has a positive effect on power system frequency modulation。When adopting the optimal control strategy, perform the following Figure 11 simulation analysis: The results prove that the configuration of wind/storage system is conducive to power system frequency modulation
In the process of traditional frequency modulation resource startup, the energy storage system responds quickly to frequency changes after disturbances occur in the power system
Summary
The total installed capacity of wind power in China is rising. As of August 2019, the total installed capacity of wind power in China has reached 198 million kilowatts (Shen et al, 2018; Yan and Zhao, 2018; Wind power grid-connected, 2019). This paper proposes an optimal control method based on series control and parallel control based on the related issues of ESS auxiliary wind turbines participating in the primary frequency regulation of the power system. When adopting a parallel control strategy, the wind turbine and the ESS will respond to the primary frequency regulation commands of the power system according to their respective frequency modulation task coefficients K1. Wind turbines change their output through virtual inertia and pitch control. This section mainly solves the problem of capacity allocation of the ESSs, including the determination of the constraints of capacity allocation of the ESSs and the establishment of configuration processes
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