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Optimal Allocation of DG and Capacitor in Distribution Networks Using a Novel Hybrid MFO-SCA Method

Hussein Abdel-Mawgoud, Salah Kamel, Adel A. Abou El‐Ela, Francisco Jurado

2021Electric Power Components and Systems24 citationsDOI

Abstract

This paper proposes a novel hybrid (MFO-SCA) method based on Moth Flame Optimization (MFO) algorithm and Sine Cosine Algorithm (SCA). MFO is utilized for the exploitation phase while SCA is used for the exploration phase. In addition, the hybrid MFO-SCA method is used with combined power loss sensitivity (CPLS) to determine the optimal allocation of single and multiple of distributed generations (DGs) and capacitors in distribution system. In this paper, the total active power loss is used as a single objective function for incorporating DGs and capacitors in RDS. Also, this paper studies the system performance when integrating DGs or capacitors alone and DGs with capacitors simultaneously in RDS. The proposed method is validated using the standard IEEE 69-bus and IEEE 33-bus radial distribution system (RDS). From comparative study, the novel hybrid MFO-SCA proved its effectiveness in obtaining the best global optimum results of the objective function compared with other recent optimization techniques, especially SCA and MFO algorithms.

Topics & Concepts

CapacitorSineOptimal allocationComputer scienceMathematical optimizationControl theory (sociology)EngineeringMathematicsVoltageElectrical engineeringArtificial intelligenceGeometryControl (management)Optimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid Energy Management