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Abstract
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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
Submitted: December 02, 2011
Accepted: January 04, 2012
Published: August 01, 2012 |
Abstract:
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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.
Key words: Allocation, distributed generation, harmony search algorithm, particle swarm optimization, voltage stabili, ,
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Cite this Reference:
Hamed Piarehzadeh, Amir Khanjanzadeh and Reza Pejmanfer, . 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, (15): 2310-2315.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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