학술논문

Solution of Reactive Power Dispatch problems using Enhanced Dwarf Mongoose Optimization Algorithm
Document Type
Conference
Source
2023 International Conference for Advancement in Technology (ICONAT) Advancement in Technology (ICONAT), 2023 International Conference for. :1-6 Jan, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Symbiosis
Reactive power
Statistical analysis
Metaheuristics
Voltage
Power system stability
Organisms
Dwarf Mongoose Optimization Algorithm
reactive power dispatch
symbiotic organism search
Metaheuristic Algorithm
Language
Abstract
This paper proposes a hybrid metaheuristic algorithm for solving reactive power dispatch (RPD) problem. RPD is an optimization problem that minimizes the real power loss, total deviation in voltage and enhances the stability of voltage to secure and maintain an economical operating state in power system. In this paper, an enhanced local search capacity is achieved by incorporating the symbiotic organism search (SOS) into the Dwarf Mongoose optimization Algorithm (DMOA). The DMOA handles the exploration process in the proposed algorithm, while the mutualism phase and the DMOA’s local search process work together to solve the exploitation process. The suggested technique is used to find the best settings for minimizing actual power loss, total voltage variation, and L-Index. The MATLAB program has been developed for the objectives of the RPD problem and tested for IEEE 30 bus test system. The results of the proposed method are compared to those of various other algorithms including the original DMOA, and are shown to be superior. The efficiency and robustness of the hybrid algorithm is confirmed by the statistical analysis.