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2012 (Vol. 4, Issue: 15)
Article Information:

Comparison of Harmony Search Algorithm and Particle Swarm Optimization for Distributed Generation Allocation to Improve Steady State Voltage Stability of Distribution Networks

Hamed Piarehzadeh, Amir Khanjanzadeh and Reza Pejmanfer
Corresponding Author:  Amir Khanjanzadeh 

Key words:  Allocation, distributed generation, harmony search algorithm, particle swarm optimization, voltage stabili, ,
Vol. 4 , (15): 2310-2315
Submitted Accepted Published
December 02, 2011 January 04, 2012 August 01, 2012
Abstract:

In this study is tried to optimal distributed generation allocation for stability improvement in radial distribution systems. Voltage instability implies an uncontrolled decrease in voltage triggered by a disturbance, leading to voltage collapse and is primarily caused by dynamics connected with the load. The instability is divided into steady state and transient voltage instability Based on the time spectrum of the incident of the phenomena. The analysis is accomplished using a steady state voltage stability index which can be evaluated at each node of the distribution system. Several optimal capacities and locations are used to check these results. The location of DG has the main effect voltage stability on the system. Effects of location and capacity on incrementing steady state voltage stability in radial distribution systems are examined through Harmony Search Algorithm (HSA) and finally the results are compared to Particle Swarm Optimization (PSO) on the terms of speed, convergence and accuracy.
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  Cite this Reference:
Hamed Piarehzadeh, Amir Khanjanzadeh and Reza Pejmanfer, 2012. Comparison of Harmony Search Algorithm and Particle Swarm Optimization for Distributed Generation Allocation to Improve Steady State Voltage Stability of Distribution Networks.  Research Journal of Applied Sciences, Engineering and Technology, 4(15): 2310-2315.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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