|
Abstract
|
Article Information:
A Hybrid Shuffled Frog Leaping Algorithm to Solve Optimal Directional Over Current Relay Coordination Problem for Power Delivery System with DGs
Mohammad Sadegh Payam, Ehsan Bijami, Mostafa Abdollahi and Asadollah Salami Dehkordi
Corresponding Author: Mohammad Sadegh Payam
Submitted: October 31, 2011
Accepted: November 25, 2011
Published: May 01, 2012 |
Abstract:
|
This study presents a new approach for simultaneous coordinated tuning of over current relay for
a Power Delivery System (PDS) including Distribution Generations (DGs). In the proposed scheme, instead
of changing in protection system structure or using new elements, solving of relay coordination problem is done
with revising of relays setting in presence of DGs. For this, the relay coordination problem is formulated as the
optimization problem by considering two strategies: minimizing the relays operation time and minimizing the
number of changes in relays setting. Also, an efficient hybrid algorithm based on Shuffled Frog Leaping (SFL)
algorithm and Linear Programming (LP) is introduced for solving complex and non-convex optimization
problem. To investigate the ability of the proposed method, a 30-bus IEEE test system is considered. Three
scenarios are examined to evaluate the effectiveness of the proposed approach to solve the directional
overcurrent relay coordination problem for a PDS with DGs. Simulation result show the efficiency of proposed
method.
Key words: Directional over current relay coordination, Distributed Generation (DG), linear Programming, Looped Power Delivery System (PDS), short-circuit analysis, shuffled frog leaping algorithm,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Mohammad Sadegh Payam, Ehsan Bijami, Mostafa Abdollahi and Asadollah Salami Dehkordi, . A Hybrid Shuffled Frog Leaping Algorithm to Solve Optimal Directional Over Current Relay Coordination Problem for Power Delivery System with DGs. Research Journal of Applied Sciences, Engineering and Technology, (09): 1051-1061.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
