Voltage Profile Amplification and Attenuation of Real Power Loss by Using New Cuttlefish Algorithm

K. Lenin


This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. Global optimization methods play an important role to solve many real-world problems. However, the implementation of single methods is excessively preventive for high dimensionality and nonlinear problems, especially in term of the accuracy of finding best solutions and convergence speed performance. In this paper, a New Cuttlefish Algorithm (NCFA) is proposed to solve reactive power dispatch problem. The algorithm imitates the method of colour altering behaviour used by the cuttlefish .The patterns and colours seen in cuttlefish are produced by reflected light from different layers of cells including (chromatophores, leucophores and iridophores) heap together, and it is the amalgamation of certain cells at once that allows cuttlefish to acquire such a huge array of patterns and colours. The projected algorithm considers two key progressions: reflection and visibility. Reflection process is projected to replicate the light reflection mechanism used by these three layers, while the visibility is projected to replicate the visibility of matching pattern used by the cuttlefish. These two processes are used as a explore strategy to find the global optimal solution. The proposed New Cuttlefish Algorithm (NCFA) has been tested on standard IEEE 30 bus test system and simulation results show clearly the better performance of the proposed algorithm in enhancing the voltage stability and reducing the real power loss.

Keywords: Optimal Reactive Power, Transmission loss, Cuttlefish algorithm, Reflection, Visibility, Optimization, Chromatophores, Iridophores, Leucophores.

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ISSN (Paper)2224-5774 ISSN (Online)2225-0492

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