This paper proposes an extension of the Gravitational Search Algorithm (GSA) to multiobjective optimization problems. The new algorithm, called Non-dominated Sorting GSA (NSGSA), utilizes the non-dominated sorting concept to update the gravitational acceleration of the particles. An external archive is also used to store the Pareto optimal solutions and to provide some elitism. It also guides t...

This paper presents a methodology using Gravitational Search Algorithm for optimal placement of Phasor Measurement Units (PMUs) in order to achieve complete observability of the power system. The objective of proposed algorithm is to minimize the total number of PMUs at the power system buses, which in turn minimize installation cost of the PMUs. In this algorithm, the searcher agents are colle...

This paper presents a gravitational search algorithm (GSA) for solving the combined economic and emission dispatch (CEED) problem in power systems. Numerical results for the standard IEEE 30-bus six-generator test system have been presented to illustrate the performance and applicability of the proposed approach. The results obtained are compared to those reported in the recent literature. Thos...

This paper proposes a methodology for an optimal operation of smart distribution network considering the reconfiguration, distributed generation (DG) units allocation and optimally placing shunt capacitors reactive power compensation. In this work, total losses minimization objective is considered. By optimizing objective, it can also results in reduction voltage deviation. The proposed problem...