Hosting Capacity Assessment of Renewable Energy Resources in Distribution Systems

Abstract

The issue of integrating renewable energy resources in distribution systems is getting more and more attention all over the world due to several factors. This paper proposes an optimization-based procedure for assessing the maximum hosting capacity (HC) of renewable energy resources (RERs) such as photovoltaic (PV) and wind turbines (WT) in distribution systems. Manta ray foraging optimization (MRFO) algorithm is proposed for solving the HC problem. The results of the proposed algorithm are compared with well-known algorithm to show its performance. Voltage deviation and current carrying capacity of the conductors are considered as the performance limits (PLs). A simplified uncertainty model for both PV and WT is developed besides considering various loading conditions for the system loads. Two cases for the renewable based distributed generation units’ power factor are investigated to study the effect of the units’ power factor on the system HC. The proposed method is examined on the IEEE 33-bus standard distribution system. The results show the capability of the proposed algorithm compared to another well-known technique.