Multi-Objective Optimized Loadability Estimation by considering Power System Objectives using NSPSO

Vol. 2  Issue 4
Year: 2015
Issue:Nov-Jan
Title:Multi-Objective Optimized Loadability Estimation by considering Power System Objectives using NSPSO
Author Name:Chintalapudi V Suresh and S.Sivanagaraju
Synopsis:

In Electrical Power Systems operation and management, simultaneous controlling of economic dispatch, emission, electrical power loss and voltage stability index, etc. can be formulated as a multi-objective optimization problem subject to the equality and inequality constraints. Development of an optimal strategy to achieve the above mentioned objectives, while maximizing the quantity of the load, is rather a difficult task. In practice finding a global solution for this type of problem is a matter of sheer diligence and expertise. A modern evolutionary algorithm namely Nondominated Sorting is adapted to Particle Swarm Optimization to solve multi-objective optimization problem. Since the nature of objective functions is not the same, a fuzzy decision making tool is used to choose the best solution. In common practice, maximizing load on a system needs sacrificing of some other objectives simultaneously. So, the main aim of this paper is to find maximum loadability on a given system without enormous violation of other objectives while satisfying the constraints. The efficiency of the proposed approach is examined on IEEE-30 bus with supporting results.