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A new multi agent based PSO approaches for optimal power flows with security constraints using different cost functions

Content Provider	IEEE Xplore Digital Library
Author	Kumar, R. Anand, S. Sydulu, M.
Copyright Year	2011
Description	Author affiliation: Department of EEE, Vasavi College of Engineering, Hyderabad, India (Kumar, R.; Anand, S.) \|\| Department of Electrical Engineering, NIT, Warangal, India (Sydulu, M.)
Abstract	This paper proposes new evolutionary multi agent based particle swarm optimization algorithms for solving optimal power flows with security constraints(line flows and bus voltages). These methods combines the multi agents in two dimensional and cubic lattice structures with particle swarm optimization (PSO) to form two new algorithms. In Cubic lattice structured multi agent based PSO(CLSMAPSO), an agent represents a particle in cubic lattice structure to PSO, and a candidate solution to the OPF problem. In Two dimensional lattice structured multi agent based PSO(TDLSMAPSO), an agent represents a particle in square lattice structure to PSO, and a candidate solution to the OPF problem. All agents live in a cubic and square lattice like environments, with agents fixed on a lattice point in the ascending order of their fitness value. In order to obtain the optimal solution, each agent in cubic and square lattice competes and cooperates with its neighbor. Making use of these agent-agent interactions, CLSMAPSO and TDLSMAPSO realizes the purpose of minimizing the objective function value. In this paper, Variable constriction factor has been considered for TDLSMAPSO and CLSMAPSO. The OPF problem has been considered with three different cost functions to realize Optimal Power Flow using CLSMAPSO and TDLSMAPSO applied to IEEE 30 bus system. Simulation results show that proposed approaches gives better solution than earlier reported approaches in very quick time.
Starting Page	67
Ending Page	72
File Size	375432
Page Count	6
File Format	PDF
ISBN	9781457708763
e-ISBN	9781457708787
DOI	10.1109/IAMA.2011.6049008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multi agent systems Lattices Generators Particle swarm optimization Optimization Equations Optimal power flows Load flow
Content Type	Text
Resource Type	Article

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