AN ARTIFICIAL IMMUNE SYSTEM ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
- K. Lenin, B.Ravindranath Reddy, M.Surya Kalavathi
- Corresponding Author
- K. Lenin
Available Online April 2013.
- 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.
- 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 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6277 ID - Lenin2013/04 ER -