Planning of distribution system considering residential roof top photovoltaic systems, distributed generations and shunt capacitors using gravitational search algorithm

Abstract

In this paper a Gravitational Search Algorithm (GSA) based multiobjective approach is proposed for optimum sizing and allocation of distributed generations (DGs) and shunt capacitors (SCs) for distribution systems integrated with roof top photo voltaic systems (PV). The capacity of roof top Solar PV systems is designed based on the basic energy consumption requirements of a two-bed room apartment. A normalized multiobjective function is formulated considering the objectives of minimizing substation real power, reactive power, real power loss minimization and voltage profile improvement. The optimum DGs and SCs for three seasons summer, rainy and winter are obtained using GSA by minimizing the multiobjective function to reduce the burden on the substation and simultaneously improving the distribution system performance. A practical 52-bus, 11 kV rural radial distribution system is used to demonstrate the simulation results to show the advantage of the proposed methodology in improving the distribution system performance.