Multi-Objective Optimal Renewable Distributed Generator Integration in Distribution Systems Using Grasshopper optimization Algorithm Considering Overcurrent Relay Indices

Abstract

The endless problem of energy supplies is always floating on the surface. As a result, there is a daily improvement to optimize power generators and power system configuration. Renewable Distributed Generators (RDGs) are at the heart of these developments. The optimal placement and sizing of RDG sources is a recent problem in the Distribution Power System (DPS) that is usually solved using various algorithms due to its high complexity. A new optimization algorithm called Grasshopper optimization Algorithm (GOA) has been implemented to optimize different types of RDG units for obtaining an optimum allocation of multiple Photovoltaic Distributed Generator (PVDG) and Wind Turbine Distributed Generator (WTDG) units in DPS. This paper proposed new Multi-Objective Functions (MOF) that are considered to minimize simultaneous the total of Active Power Loss Index (APLI), the Voltage Deviation Index (VDI), the Operation Time Index (OTI), and enhance the Coordination Time Interval Index (CTII) of the primary and backup overcurrent protection relays installed in DPS. The proposed algorithm is tested on a standard IEEE 33-bus distribution power system. The numerical simulation including comparative studies was presented to demonstrate the performance of the GOA and compared to that of the Particle Swarm optimization (PSO) algorithm, Artificial Bee Colony (ABC) algorithm, and Sine Cosine Algorithm (SCA).