A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks

Abstract

Emerging smart grid technologies in electric distribution network (EDN) planning, operation, and automation require fast and efficient power flow methods. This imposes the continual search for speedy and effective power flow algorithms for EDNs. The present paper illustrates a survey and summary of recent developments in power flow methods. Several technical approaches have been presented for optimal power flow methods for power loss identification and distributed generation (DG) allocation in EDNs. The main contribution of the present survey paper is calculation of network power loss using power flow methods in radial distribution networks (RDNs). Here two major power flow methods used are forward and backward sweep (FBS) and direct approach (DA). The methods are compared on the basis of loss reduction and minimum voltage bus identification capability. The present survey provides the researchers a clear idea of power flow methods utilized in EDN performance enhancement. The power flow analysis is carried out on different EDNs, i.e., small, medium and large scale. Later DG allocation is carried out by using a novel meta-heuristic algorithm called grasshopper optimization algorithm (GOA). The results obtained are compared with existing techniques.