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Optimal sizing for flywheel energy storage system-conventional generator coordination in load frequency control

机译:飞轮储能系统的最佳尺寸-负载频率控制中的常规发电机协调

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Conventional generators(CG) are limited in their ability to provide load frequency control because of restriction on power ramp rate and response time while flywheel energy storage systems (FESS) are well suited to assist LFC owing to their fast and accurate power tracking ability. In this paper, fixed power control (PQ control) is applied in the auxiliary service of FESS in LFC and probability statistics methods are used for demand analysis. Taking into account the regulation service of FESS and CG, the initial cost, and the operation and maintenance cost, an optimal sizing model for the FESS-CG coordination based on a control strategy developed to maintain the State of Charge (SOC) of FESS within a desired range and reduce the output adjustments of CG is established. With the optimal objects of technical and economic benefits, the non-dominated sorting genetic algorithm-II (NSGA-II) is adopted to seek the optimal sizing scheme for the capacities of FESS and CG and the parameters of the control strategy. The simulation results reveal that the method is capable of making comprehensive assessment of the technical and economic benefits of different schemes.
机译:常规发电机(CG)受功率斜坡率和响应时间的限制,因此无法提供负载频率控制,而飞轮储能系统(FESS)则因其快速而准确的功率跟踪能力而非常适合于辅助LFC。本文将固定功率控制(PQ控制)应用于LFC的FESS的辅助服务中,并将概率统计方法用于需求分析。考虑到FESS和CG的调节服务,初始成本以及运营和维护成本,基于开发的控制策略将FESS-CG协调的最佳规模模型保持在FESS的荷电状态(SOC)以内建立所需的范围并降低CG的输出调整。针对技术和经济效益的最佳目标,采用非支配排序遗传算法-II(NSGA-II)来寻求FESS和CG容量以及控制策略参数的最佳尺寸选择方案。仿真结果表明,该方法能够对不同方案的技术和经济效益进行综合评估。

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