Future trends are increasingly directed towards replacing traditional energy sources by new and renewable energy ones, with Wind Energy coming first in the row of these sources worldwide. The Egyptian electric power system still has a relatively low penetration level, around 3%, of Wind Energy to its generation mix. However, it is planned to increase this ratio to 14.6% by the year 2035. This paper studies the frequency dynamics associated with significant penetration levels of Wind Energy into the Egyptian grid, which leads to reducing the overall system inertia. The control strategy adopted depends on maximizing the wind energy contribution to frequency control, in order to compensate that reduction of system inertia. The Real data of the Egyptian power system model used is verified by the National Electricity Control Centre, updated to the latest values declared and tested under the lowest and highest loads recorded. A modified control loop is added to the control system in order to allow the Wind Energy Conversion System to significantly contribute to the Load Frequency Control. The PI controller gains used in that loop are tuned using three methods; Local Unimodal Sampling, Harmony Search Algorithm and Equilibrium Optimizer (EO). The Equilibrium Optimizer (EO) proved its superiority to the other methods, as it gave the best dynamic response. The simulated results are presented using MATLAB/SMULINK.

未来的趋势越来越倾向于用新能源和可再生能源替代传统能源，风能在全球这些能源中名列前茅。埃及电力系统的风能在其发电组合中的渗透率仍然相对较低，约为 3%。然而，计划到 2035 年将该比率增加到 14.6%。本文研究了与风能进入埃及电网的显着渗透水平相关的频率动态，这会导致降低整个系统的惯性。所采用的控制策略取决于使风能对频率控制的贡献最大化，以补偿系统惯性的减少。所使用的埃及电力系统模型的真实数据经国家电力控制中心验证，更新为在记录的最低和最高负载下声明和测试的最新值。修改后的控制回路被添加到控制系统中，以允许风能转换系统对负载频率控制做出显着贡献。该环路中使用的 PI 控制器增益使用三种方法进行调整；局部单峰采样、和谐搜索算法和均衡优化器 (EO)。平衡优化器 (EO) 证明了其优于其他方法，因为它提供了最佳的动态响应 局部单峰采样、和谐搜索算法和均衡优化器 (EO)。平衡优化器 (EO) 证明了其优于其他方法，因为它提供了最佳的动态响应 局部单峰采样、和谐搜索算法和均衡优化器 (EO)。平衡优化器 (EO) 证明了其优于其他方法，因为它提供了最佳的动态响应. 使用 MATLAB/SMULINK 显示仿真结果。