基于统计学方法的微网混合储能容量优化配置

Capacity Optimization of Hybrid Energy Storage in Microgrid Based on Statistic Method

混合储能系统是微网中平抑功率波动的关键组件,为微网配置适当的储能容量可有效提高系统的经济性。提出了混合储能系统容量优化配置的一种统计学方法。该方法提出了基于频谱分析的功率分配策略,并与频率滞环控制相结合。功率分配策略协调蓄电池和超级电容器的运行,改善了蓄电池的运行环境;频率滞环增加了蓄电池的使用寿命。该方法还探索了超级电容器、蓄电池的容量配置子算法。此外,对统计模型进行蒙特卡洛仿真,获得了混合储能系统的容量概率分布,确定了不同累计概率水平下的混合储能系统的容量。仿真结果验证了所提方法的合理性和经济性。

Hybrid energy storage system（HESS） is a key component for smoothing fluctuation of power output in microgrid. Appropriate configuration of energy storage capacity for microgrid can effectively improve system economy. A new method for HESS capacity optimization based on statistic model is proposed. The method proposes a power allocation strategy based on spectrum analysis and frequency hysteresis loop control. The strategy coordinates battery and supercapacitor operation and improves battery operation environment. The frequency hysteresis loop strategy extends battery lifetime by reducing charge/discharge period. This method also exploits a sub-algorithms for supercapacitor and battery capacity optimization. Besides, Monte Carlo simulation is implemented to the statistic model to obtain probability distributions of HESS, determining its capacity in different cumulative probability levels. Simulation result verifies rationality and economy of the proposed method.