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Frequency sensitivity analysis of dynamic demand response in wind farm integrated power system

机译:风电场集成电力系统动态需求响应的频率敏感性分析

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Demand response (DR) has emerged as a very important part of the future smart grid to enhance the power system reliability and frequency stability. This study presents the benefits of DR control and battery energy storage (BES) on frequency regulation in wind farm integrated power system. In this study, a generalised load frequency control model of a hybrid hierarchical DR control mechanism is developed by incorporating the inherent system parameters such as frequency dead-band, aggregated generations/devices and communication time delay and so on. The mathematical formulation for frequency stability and sensitivity analysis are carried out with respect to the frequency change coefficient for switching OFF the DR devices and frequency regulation service shared by conventional supplementary control, DR and BES. The extensive simulation results are presented for system frequency response (SFR) to support the theoretical analysis. It is found that DR has a significant effect to stabilise SFR. The observations drawn from analysis can be helpful for system operators/regional transmission organisation to investigate or plan for deciding the frequency threshold, minimum turn OFF time for individual DR devices, frequency coefficient factor and percentage share of frequency regulation services to restore the frequency quickly.
机译:需求响应(DR)已成为未来智能电网的一个非常重要的部分,以提高电力系统可靠性和频率稳定性。本研究介绍了DR控制和电池储能(BES)对风电场集成电力系统频率调节的好处。在该研究中,通过结合诸如频率死区,聚合的世代/设备和通信时间延迟等固有的系统参数来开发混合分层DR控制机制的广义载荷频率控制模型。用于频率稳定性和灵敏度分析的数学制剂是关于频率变化系数执行,用于关闭通过传统的补充控制,DR和BES共享的DR器件和频率调节服务。提供了广泛的仿真结果,用于系统频率响应(SFR),以支持理论分析。发现DR具有稳定SFR的显着效果。从分析中汲取的观察可能有助于对系统运营商/区域传输组织进行调查或计划确定频率阈值,为单个DR器件的最小关闭时间,频率调节服务的频率系数因子和百分比份量快速恢复频率。

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