Hybrid optimization algorithms for analyzing the performance of transmission system incorporating advanced SVC model

The multiplicity of transactions frequently leads to the conditions where the operating zone will not remain secure in the field of emerging electric power systems. In the system of power security advancement, the highly Flexible AC transmission systems (FACTs) controllers will play a prime role. But because of large scale capital investment it is required to locate the FACTs controllers in the power system in optimum condition. Due to the flexibility nature of these controllers, with fast control characteristics they may regulate both active and reactive power flow control cum adaptive to voltage magnitude control very effectively. Regulation in line flow and maintenance of voltages at different locations of the bus are achieved by keeping of such devices in suitable location. In this paper optimization methods GA-PSO and DA-PSO are proposed for finding the optimum location and firing angle of SVC. In that, the location of the device is optimized by GA or DA and the optimized firing angle is done with PSO. Because of the two different Optimizing techniques are used to solve single objective function, it is called Hybridization. The proposed optimization is an effective method for finding the optimal location of SVC device and also increasing voltage profile and reducing the power system losses in the line. This Hybrid GA-PSO and DA-PSO is tested on IEEE 57 bus test systems and simulation results are presented.

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