Distribution System State Estimation with Stability Assessment Using Bio-Inspired Computing

In the present day, there is an enormous demand in the supply of energy to all users. Since the voltage stability for the distribution system is not steady under any circumstances, therefore, to solve the problem of voltage instability the entire distribution system must simplified properly. Thus, some active support is provided for balancing the demand for electrical energy supply. Hence, the problem of voltage instability has been solved by considering phasor measuring units (PMUs) using antlion optimisation proposed in this study. The cost of PMU has been analysed along with other factors such as observability for effectively placing the PMUs with the identification of the weakest node. The problem is solved by using a non-linear model and the effectiveness of the proposed approach is tested using IEEE-15, IEEE-33, IEEE-69 Radial Distribution Systems and Croatia distribution grid. The result shows that the suggested algorithm is more effective in getting the optimal PMU placements considering multi-objective. Hence, the maiden state estimation values for distribution topologies are used.