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Energy storage sizing for dispatchability of wind farm

机译:储能大小可提高风电场的可调度性

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摘要

The undispatchability of wind farm presents lots of integration problems to safe operation of power system. Designing energy storage system for Dispatchability of wind farm is an effective integration solution. This paper presents a novel sizing method of energy storage system for dispatchability of wind farm with different confidence level. The forecast data of wind power is generated base on persistence method, and then based on forecast data a dispatch strategy is proposed for the minimization of energy storage size. For the compromise between dispatchability of wind farm and energy storage size, different confidence level of dispatchability can be defined as constraint and constraint function of energy storage rated power and capacity is established with non-parametric estimation and curve fitting. The investment cost model considering lifetime of energy storage is proposed as objective function with constraint function. For obtaining optimal energy storage size, genetic algorithm is used to solve the non-linear objective function. Finally, the sizing method is illustrated by an example adopting lithium-ion battery energy storage system.
机译:风电场的不可调度性给电力系统的安全运行带来了许多集成问题。设计用于风电场可调度性的储能系统是一种有效的集成解决方案。针对不同置信度的风电场可调度性,提出了一种新的储能系统选型方法。基于余辉法生成风电的预报数据,然后根据预报数据提出调度策略,以最小化储能规模。对于风电场可调度性与储能规模之间的折衷,可以定义不同的可调度性置信度作为约束,通过非参数估计和曲线拟合建立储能额定功率和容量的约束函数。提出了考虑储能寿命的投资成本模型作为具有约束函数的目标函数。为了获得最佳的能量存储大小,使用遗传算法求解非线性目标函数。最后,以采用锂离子电池储能系统为例对选型方法进行了说明。

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