JPS_V2_N4_RP2 Chintalapudi V. Suresh S. Sivanagaraju Journal on Power Systems Engineering 2322–0376 2 4 7 20 Non dominated Sorting, Particle Swarm Optimization, Generation Cost, Emission, Losses, Voltage Stability Index, Loadability 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. November 2014 - January 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3111