Comprehensive analysis of optimal allocation of capacitor banks in various distribution networks using different hybrid optimization algorithms

Optimal sitting and size of Capacitor Banks (CB) in electric power systems have an important role in upgrading voltage profile, power factor correction and minimizing the cost of reactive power optimization and the system power losses. This work presents two new efficient hybrid optimization algorithms as a comparison to solve the problems of CB allocations. The first PSOQN optimization is implemented with the combination of Particle Swarm Optimization (PSO) and Quazi-Newton (QN) algorithm. In the second PSOGSA optimization algorithm is constructed with the combination of PSO and Gravitational Search Algorithm (GSA). Each one of the proposed methodologies is introduced in two stages. First, the most critical buses for installing CB are estimated using Loss Sensitivity Factors (LSF). Then the optimization algorithm is proposed to deduce the optimal locations of capacitors and their sizing from the chosen buses. The validation of the proposed algorithm is tested on 33-bus, and 69-bus IEEE standard radial distribution systems and Moscow region, with 111-bus as practical case study. In order to validate the proposed methodologies, the obtained results have been compared with other techniques. The results confirmed that the proposed optimization techniques have efficiency and robust with high performance to get the optimal settlings for minimizing the system power losses, enhancing the voltage profile and maximizing the net savings as compared as other techniques. The system results have been implemented by Matlab package.

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