Optimal Control of PV-Wind-Storage Hybrid Power System Based on Variable Weight Adaptive Filtering

doi:10.3969/j.issn.1000－7229.2015.04.006

Abstract

Abstract:

This paper proposed an optimal control strategy for photovoltaic （PV）-wind-storage coordination based on variable weight adaptive filtering to smooth the fluctuations of the output power in the PV-wind-storage hybrid power system. Based on traditional weighted moving filtering algorithm, the relationship of the output of energy storage system, the fluctuation rates and the filtering bandwidth was analyzed； the balance index of the state of charge （SOC） of energy storage system and the fluctuation rates of the output power connected to the grid were used as constraint conditions to optimize the weight of the weighted moving filtering algorithm and the filtering bandwidth. Under the given constraint of fluctuation rate, the coordination optimal control of hybrid power system including PV, wind power and energy storage system was achieved. The example results show that the smoothing performance of PV-wind power of the proposed variable weight adaptive filtering method is better than that of traditional first-order low-pass filtering method. Under the premise of maintaining a reasonable level of SOC, the fluctuation of PV-wind output power is smoothed significantly, the charging or discharging times of energy storage system are reduced and the service life of energy storage system is improved.

Key words: fluctuation rate constraint, weighted moving filtering, state of charge （SOC）, energy storage cost, filtering bandwidth

CLC Number:

TM 73

LI Dexin, DONG Tian, CHANG Xuefei, CHEN Yueyan, HAN Xiaojuan. Optimal Control of PV-Wind-Storage Hybrid Power System Based on Variable Weight Adaptive Filtering[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(4): 32-37.

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