Proceedings of the Conference on Advances in Communication and Control Systems-2013

AN ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM

Authors
K. Lenin, B.Ravindranath Reddy, M.Surya Kalavathi
Corresponding Author
K. Lenin
Available Online April 2013.
Abstract
This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. This paper presents artificial immune system for solving above problem. Artificial Immune System Algorithm, also termed as the machine learning approach to Artificial Intelligence, are powerful stochastic optimization techniques with potential features of random search, hill climbing, statistical sampling and competition. Artificial immune system algorithmic approach to power system optimization these ideas are embedded into proposed algorithm for solving reactive dispatch problem.
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - K. Lenin
AU  - B.Ravindranath Reddy
AU  - M.Surya Kalavathi
PY  - 2013/04
DA  - 2013/04
TI  - AN ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
UR  - https://www.atlantis-press.com/article/6277
ID  - Lenin2013/04
ER  -