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Utilising stored wind energy by hydro-pumped storage to provide frequency support at high levels of wind energy penetration

机译:通过水泵存储利用存储的风能在高水平的风能渗透下提供频率支持

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摘要

Wind farms (WFs) contribution in frequency deviations curtailment is a grey area, especially when WFs replace large conventional generation capacities. This study offers an algorithm to integrate hydro-pumped storage station (HPSS) to provide inertial and primary support, during frequency drops by utilising stored wind energy. However, wind turbines follow maximum power tracking, and do not apply frequency support methods, thus the wasted wind energy is mitigated. First, HPSS rated power and energy capacity are determined based on several givens, including wind speed and load characteristics. Thus, HPSS major aspects are estimated [e.g. pump(s), reservoir layout and generator(s)]. Second, offered algorithm coordinates energy storage, and releasing through several dynamic and static factors. HPSS output is continuously controlled through a timed approach to provide frequency support. A hypothetical system is inspired from Egyptian grid and real wind speed records at recommended locations to host WFs. Case studies examine the algorithm impact on frequency recovery, at 40% wind power penetration. The responses of thermal generation and HPSS are analysed to highlight the influence of tuning the parameters of the proposed algorithm. The assessment of several frequency metrics insures the positive role of HPSS in frequency drops curtailment. Simulation environments are MATLAB and Simulink.
机译:风电场(WFs)在减少频率偏差方面的贡献是一个灰色地带,尤其是当WFs取代大型常规发电能力时。这项研究提供了一种算法,该算法可以集成水泵蓄能站(HPSS),从而在频率下降期间利用存储的风能提供惯性和主要支持。然而,风力涡轮机遵循最大功率跟踪,并且不应用频率支持方法,因此减轻了浪费的风能。首先,HPSS的额定功率和能量容量是根据几个给定确定的,包括风速和负载特性。因此,估计了HPSS主要方面[例如,泵,油箱布局和发电机]。其次,提供的算法协调能量存储,并通过几个动态和静态因素进行释放。 HPSS输出通过定时方法连续控制以提供频率支持。一个假想的系统是从埃及电网和推荐地点的实际风速记录中获得灵感的。案例研究检查了算法在40%的风力渗透率下对频率恢复的影响。分析了热产生和HPSS的响应,以突出说明所提出算法的参数调整的影响。对多个频率指标的评估可确保HPSS在减少频率下降中的积极作用。仿真环境是MATLAB和Simulink。

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