Collaborative optimization method for improving the frequency response characteristics of energy storage and DC systems considering multiscenario demands

doi:10.19799/j.cnki.2095-4239.2023.0193

Abstract

Abstract:

New energy systems have significant volatility and uncertainty, and the moment of inertia provided is limited. Large-scale grid connections of new energy systems lead to severe challenges in power system frequency regulation. Concurrently, in the asynchronous networking mode and with the continuous increase in DC scale, the system's moment of inertia is further reduced. Thus, energy storage and DC frequency limiting controllers (FLC) are required to improve the frequency control capability of the transmitting power grid under various disturbance scenarios. Therefore, a unified-frequency model was built based on the simulation data of a transmitting power grid to analyze the frequency modulation demand of the power grid under severe fault and conventional disturbance scenarios. On this basis, the joint optimization model for the energy storage controller and the DC FLC frequency modulation parameters was built for addressing frequency-related problems arising in various scenarios. By dynamically adjusting the frequency modulation parameters of the two, the system frequency modulation capability in different scenarios, the effect of frequency on the receiving power grid, and the frequency modulation economy were considered. Further, based on the model characteristics, a genetic algorithm was used to solve the optimization problem in a step-by-step manner and realize the comprehensive optimal design of the energy storage controller and the DC FLC frequency modulation parameters. Finally, the common disturbances pertaining to the transmitting power grid were simulated on the MATLAB simulation platform to verify the effect of optimization. The simulation results showed that the proposed method can not only take into account the frequency control of the transmitting and receiving power grids under various fault scenarios but also improve the frequency characteristics of the two power grids under conventional disturbance scenarios and the economy of frequency modulation.

Key words: renewable power integration, HVDC power transmission, energy storage, DC frequency limiting controller, FM parameters

CLC Number:

TM 761

Ke DING, Guangchao GENG, Quanyuan JIANG. Collaborative optimization method for improving the frequency response characteristics of energy storage and DC systems considering multiscenario demands[J]. Energy Storage Science and Technology, 2023, 12(8): 2649-2658.

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控制方法	储能控制系数	储能调频死区	FLC控制系数K_P	FLC控制系数K_I
所提方法	1376	0.036	8.74	1.79
固定参数	600	0.020	6.5	2.0

控制方法	受端电网最大频率偏差/Hz	受端电网最大频率偏差/Hz	储能最大出力/MW	FLC最大调节功率/MW
所提方法	0.443	0.048	978	1002
固定参数	0.536	0.076	584	1306

控制方法	储能使用容量/MWh	储能动作时长/s	电网最大频率偏差/Hz
所提方法	0.21	36.2	0.0461
固定参数	0.27	51.7	0.0503

控制方法	储能使用容量/MWh	储能最大功率/MW	电网最大频率偏差/Hz
所提方法	1.42	84.9	0.0498
固定参数	1.13	74.5	0.0556

控制方法	储能最大功率/MW	储能启动时间/s	电网最大频率偏差/Hz
所提方法	84.6	5.78	0.0494
固定参数	66.5	4.88	0.0523