Droop Control of DC Microgrid Using Grasshopper Optimization Algorithm

Abstract

A method is proposed such that droop constants of an islanded dc microgrid are optimized considering fuel economy and small signal stability simultaneously. System Eigen values are calculated to determine the first objective function for small signal stability. On the other hand, unit cost constants and power generations are used to determine the second objective function indicating fuel cost. Multiobjective Grasshopper optimization algorithm is then used for solving this optimization problem considering these two objectives. Pareto optimal front is obtained using optimized droop constants of the units. The method is then verified on a 3 bus test system of direct current micro-grid (DCMG). Results thus obtained are compared with that of multiobjective genetic algorithm. Time domain voltage response is also obtained to show the stability and system damping.

Keywords: DC Microgrid; Small Signal Stability; Fuel Cost; Droop Values; Multiobjective Optimization