Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

• Published in: Energies
• Main Authors: Ovidiu Ivanov, Bogdan-Constantin Neagu, Gheorghe Grigoras, Mihai Gavrilas
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: electricity distribution networks; optimal capacitor allocation; genetic algorithm; particle swarm optimization; bat algorithm; whale algorithm; sperm-whale algorithm; Technology; T; Boa; Sperm whale
• Online Access: https://doi.org/10.3390/en12224239; https://doaj.org/article/5ad2c806e5df4c1286a97bc511d3d380

Energy losses and bus voltage levels are key parameters in the operation of electricity distribution networks (EDN), in traditional operating conditions or in modern microgrids with renewable and distributed generation sources. Smart grids are set to bring hardware and software tools to improve the operation of electrical networks, using state-of the art demand management at home or system level and advanced network reconfiguration tools. However, for economic reasons, many network operators will still have to resort to low-cost management solutions, such as bus reactive power compensation using optimally placed capacitor banks. This paper approaches the problem of power and energy loss minimization by optimal allocation of capacitor banks (CB) in medium voltage (MV) EDN buses. A comparison is made between five metaheuristic algorithms used for this purpose: the well-established Genetic Algorithm (GA); Particle Swarm Optimization (PSO); and three newer metaheuristics, the Bat Optimization Algorithm (BOA), the Whale Optimization Algorithm (WOA) and the Sperm-Whale Algorithm (SWA). The algorithms are tested on the IEEE 33-bus system and on a real 215-bus EDN from Romania. The newest SWA algorithm gives the best results, for both test systems.