考虑储能SOC自恢复的风电波动平抑混合储能容量配置策略

doi:10.19595/j.cnki.1000-6753.tces.230915

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Abstract

Wind power is randomly distributed. The direct integration of large-scale wind power for the grid causes a huge impact on the power grid. Energy storage devices installed in wind farms reduces the impact of wind power fluctuations on the power grid. In order to stabilize the fluctuation of wind power output, a capacity configuration strategy of hybrid energy storage system (HESS) based on the combination of supercapacitors and lithium iron phosphate batteries was proposed. The HESS power command is inaccurate due to the lag in the smoothing results of wind power fluctuation flattening filter algorithm. A limiting and sliding average weighted filtering algorithm was proposed to reduce HESS over-discharge. This algorithm updated the algorithm weights based on 10 min scale fluctuation of wind power. When the power fluctuation of wind power in the 10min scale was large, the output ratio of the sliding average filtering algorithm was increased to smooth the long-term fluctuation of wind power. When the 10min scale power fluctuation of wind power was small, the output ratio of the limiting filtering algorithm was increased to ensure the 1min scale fluctuation of wind power to meet the national standard. An algorithm limiting parameter update method was designed to control the self-recovery of the HESS cumulative discharge and reduce the configuration capacity of HESS. Based on the problem that the traditional active power distribution method of HESS power reference as the decomposition object cannot control the state of charge (SOC). An active power distribution method based on the cumulative discharge of HESS as the decomposition object was proposed. This distribution method was used to decompose the cumulative discharge of HESS based on empirical mode decomposition (EMD) and the decomposition result was derived. The component of the HESS output power was differentiated and distributed. Supercapacitors and lithium iron phosphate batteries had obtained power instructions that match their operating characteristics. Considering the constraints such as climbing rate and cycle life, the HESS capacity optimal configuration model of the lowest cost was established. Based on the typical day data of wind turbines without long-term shutdown and the wind power fluctuation smoothing strategy and active power distribution method , three simulation schemes were designed. The simulation results indicate that the grid-connected power fluctuation based on limiting and sliding average weighted filtering algorithm meets the index requirements. The lag time is reduced to 0.2 min. The upper limits of cumulative discharge amount are reduced by 412.1 kW·h. The annual configuration cost of HESS is reduced by 966 463 RMB. Wind power stability is improved. The power reference accuracy of HESS is improved, and the cost of HESS configuration is reduced. Compared with the power distribution method based on HESS power reference, the power distribution method based on HESS cumulative discharge can control the SOC self-recovery of energy storage unit. The wind power fluctuation compensation margins of supercapacitors and lithium iron phosphate batteries are increased by 0.106 3 and 0.004 8. Based on the simulation results, the effectiveness of the wind power fluctuation smoothing strategy and the active power distribution method are verified.

Key words： Wind farms hybrid energy storage system limiting filtering algorithm Sliding average filtering algorithm

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	Zhao Jingying
	Qiao Hengpu
	Yao Shuailiang
	Li Ning

Cite this article:

Zhao Jingying,Qiao Hengpu,Yao Shuailiang等. Hybrid Energy Storage System Capacity Configuration Strategy for Stabilizing Wind Power Fluctuation Considering SOC Self-recovery[J]. Transactions of China Electrotechnical Society, 0, (): 230915-.

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