Development of optimal Electricity Management Systems to Minimize Resources and Losses using Particle Swarm Optimization Techniques: Case Study for UDUS

Abstract

Hybrid energy systems (HESs), have played an important role as clean and efficient source of electricity generation. HESs are often formulated as an optimization problem which is solved mostly using metaheuristics techniques.  The conventional objective function is based on levelized cost of energy (LCOE), the lowest loss of power supply probability (LPSP), and the maximum renewable factor (REF) as indices.  This paper proposed an enhanced objective function based on additional index known as Lost Load Dump Load Index (LLDLI), which helps in finding optimal solution to HES deployment. Usmanu Danfodiyo University Sokoto (UDUS), Nigeria is used as case study, Particle swamp optimization (PSO)is used to solve the optimization problem in MATLAB/Simulink for its early convergence. With the proposed method, an optimal solution for the allocation of HES resources is achieved with minimum LCOE, LPSP, and LLDL indices that are equal to 1.21$/kWh and 0.04%, and 0.05%respectively against conventional PSO of The minimum parameters come out to be 1.3$/kWh for LCOE, 0.06% for LPSP, 0.09I.