Optimal Control Scheme for Non-Quadratic Performance Based on DHP Algorithm in Neural Networks

International Journal of Mobile Computing and Application

© 2015 by SSRG - IJMCA Journal

Volume 2 Issue 1

Year of Publication : 2015

Authors : K.Pourkodi and G.Venkatesan

10.14445/23939141/IJMCA-V2I2P101

How to Cite?

K.Pourkodi and G.Venkatesan, "Optimal Control Scheme for Non-Quadratic Performance Based on DHP Algorithm in Neural Networks," SSRG International Journal of Mobile Computing and Application, vol. 2,  no. 1, pp. 6-12, 2015. Crossref, https://doi.org/10.14445/23939141/IJMCA-V2I2P101

Abstract:

In this paper, an efficient method has been proposed for transmission line over load alleviation in deregulated power system.Here the generators are selected based on their sensitivity to the congested line and the active power of the participating generators are rescheduled using the bacterial foraging algorithm along with fuzzy for relieving congestion. The algorithm is tested in IEEE 30-bus system and compared with the simple bacterial foraging and particle swarm optimization for its effectiveness and robustness in congestion management. It is observed that the bacterial foraging algorithm (BFA) with fuzzy minimizes the cost effectively when compared to the simple bacterial foraging (SBF) and particle swarm optimization (PSO).

Keywords:

Congestion management, Deregulated market, SBF, PSO, Generator Sensitivity,Constraints

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