Stochastic Dispatching of Energy Storage Devices Considering Complementarity between Renewable Energy and Load

doi:10.3969/j.issn.1000-7229.2015.06.005

Abstract

Abstract:

The influence of the indeterminacy of intermittent new energy on power system should be considered in wind-solar-battery hybrid power system. Based on this, the stochastic scheduling model of energy storing device and thermal power station was developed with considering wind/photovoltaic power’s indeterminacy and load’s stochasitic. The constraint condition of energy storing device’s charge-discharge was considered in the model. Assuming that the wind speed followed the Weibull distribution and the solar irradiance followed the Beta distribution, the average variance expression of equivalent load in wind-solar-battery hybrid power system was derived, which was used as objective function to build the stochastic optimization dispatching model of energy storing device, and measure the fluctuation inhibition ability of thermal power. The double chains quantum genetic algorithm was employed to solve this optimization problem. Finally, the efficiency and feasibility of the model were demonstrated by IEEE30 bus system.

Key words: wind-solar-battery hybrid power system, schedule by probability mode, average variance, double chains quantum genetic algorithm

CLC Number:

TM 73

CHEN Guoen, ZONG Pengpeng, ZHU Wei, ZHANG Zizhong,LIANG Huanli, WANG Bingwen, CHEN Zhong. Stochastic Dispatching of Energy Storage Devices Considering Complementarity between Renewable Energy and Load[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(6): 27-33.

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