Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
Source abstract
Abstract
Reactive power compensation is one of the practical tools that can be used to improve power systems and reduce costs. These benefits are achieved when the compensators are installed in a suitable place with optimal capacity. This study solves the issues of optimal supply and the purchase of reactive power in the IEEE 30-bus power system, especially when considering voltage stability and reducing total generation and operational costs, including generation costs, reserves, and the installation of reactive power control devices. The modified version of the artificial bee colony (MABC) algorithm is proposed to solve optimization problems and its results are compared with the artificial bee colony (ABC) algorithm, the particle swarm optimization (PSO) algorithm and the genetic algorithm (GA). The simulation results showed that the minimum losses in the power system requires further costs for reactive power compensation. Also, optimization results proved that the proposed MABC algorithm has a lower active power loss, reactive power costs, a better voltage profile and greater stability than the other three algorithms.
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Research context
OpenAlex topics: Power System Optimization and Stability · Optimal Power Flow Distribution · Power System Reliability and Maintenance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, Semnan University, Semnan, Iran
School of Mathematics and Big Data, Department of Computer Science, Anhui University of Science and Technology, Huainan 232001, China
Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran
Department of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, Nisantasi University, Istanbul, Turkey
Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295, Japan
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