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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. [ABSTRACT FROM AUTHOR]

Wind energy high penetration levels in power systems require robust and practical operation algorithms to maintain and improve the present conventional systems performance. Thus, several studies consider the impact of wind farms installation on grid frequency, especially during frequency drops. The proposed algorithm makes the wind turbine provide promising support during frequency deviations through two operation modes, namely, normal and support. Normal mode controls wind turbine output by adjusting rotational speed and pitch angle according to the incident wind speed category. Novel normal operation secures wind turbine positive contribution in frequency deviations curtailment regardless of poor accompanying wind speed conditions. The innovative concept of merging pitch de‐loading and rotational speed overproduction deceleration is implemented to avoid continuous de‐loading; hence wasted wind energy is reduced. Wind turbine generator is overloaded when frequency drop occurs during high wind speed. Major algorithm parameters are tuned based on wind turbine specifications and dominant wind speed conditions at wind turbine location. The amount of supportive excess energy during frequency deviation clearance is estimated at different wind speed circumstances, including serious wind speed drop events. An islanded medium capacity hypothetical benchmark system is implemented to examine the proposed algorithm through MATLAB and Simulink simulation environments. [ABSTRACT FROM AUTHOR]