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Sensitive reactive power dispatch solution accomplished with renewable energy allocation using an enhanced coyote optimization algorithm
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DOI：10.1016/j.asej.2020.08.021.png)
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Abstract
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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. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University.
Keywords:
ORPD
RERs
Sensitivity analysis
Voltage profile improvement
Transmission losses minimization
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