This study is concerned with solving the optimal reactive power dispatch (ORPD) problem considering the existence of renewable energy resources (RERs). The sensitivity analysis aims at studying the impact of incorporating reactive power resources and wind units for solving the ORPD problem. An enhanced coyote optimization algorithm (ECOA) is developed for solving ORPD problem. The ECOA combines the merits of fuzzy logic principles and the conventional COA with the aim of obtaining the best performance of ORPD solution. The capability of ECOA are examined on IEEE 30-bus, 118-bus test systems while its scalability is tested for standard IEEE 300-bus test system. The impact of different penetration levels of wind energies on achieving the ORPD is assessed. Statistical analyses are carried out to prove the robustness of the proposed ECOA. Therefore, the ECOA leads to more competitive solutions for single and multi-objective cases compared with the reported methods in the literature.

本研究涉及解决考虑可再生能源 (RER) 存在的最优无功功率调度 (ORPD) 问题。敏感性分析旨在研究纳入无功资源和风力发电机组对解决 ORPD 问题的影响。为解决 ORPD 问题开发了增强型土狼优化算法 (ECOA)。ECOA 结合了模糊逻辑原理和传统 COA 的优点，旨在获得 ORPD 解决方案的最佳性能。在 IEEE 30 总线、118 总线测试系统上检查了 ECOA 的能力，而在标准 IEEE 300 总线测试系统上测试了其可扩展性。评估了风能的不同渗透水平对实现 ORPD 的影响。进行了统计分析以证明提议的ECOA 的稳健性。所以，