Study On The Control Strategies Of Multiple Energy Storage Systems For Smoothing Wind Power Fluctuations

Due to the fluctuation and low prediction accuracy of wind power, large-scalewind power integrated into the grid aggravates the burden of dealing with powerfluctuations in power system, which in turn restricts the scale of wind powerintegration. The energy storage system (ESS) has the time-space shift capability ofpower and energy, which is able to restrain the fluctuation of wind power effectivelyand improve the accuracy of wind power. Thus, it is considered to be an importantmeans to integrate renewable energy into the grid and improve the wind powerintegration ability of the power system. However, ESS located with each wind plant isalways deployed to smooth output of individual plant, which creates substantialenergy waste due to lack of coordination, the smoothing function will not be achievedif multiple ESSs are used to smooth the fluctuations in a distributed pattern. Thus,how to select the control objectives, design the control strategy are important issues inapplication area of large-scale energy storage.This paper probes the difference of clustering wind power output caused byspace distribution differences of wind power through analyzing wind powerfluctuation characteristics. A quantitative description method of space distributiondifferences of wind power is proposed; the offset effect that occurs with multipleESSs is demonstrated when smoothing wind power fluctuations in a distributedpattern, an aggregated control strategy for smoothing clustering wind powerfluctuation is proposed; Further, considering load fluctuation characteristics, aquasi-automated generation control (QAGC) strategy is proposed for multiple ESSs,which satisfies the power system control requirements for electric power and relaxesthe bottleneck to accommodate the wind power in the grid.The Studies analyzes the regulatory effect of three energy control strategies, theproposed QAGC control strategy reduces the burden of regulation of energy storage systems, makes full use of the regulation performance of ESSs, and broadens thescale of wind power systems accepted by the grid. It provides reference for the designof control strategy of large-scale energy storage systems running and has practicalsignificance.