Multi-Objective Optimal Design of Solar and Wind Hybrid Renewable Energy Systems in Distribution System Considering Daily Uncertainties

Abstract

The problem of energy supply kept floating on the surface. Hybrid Renewable Energy Systems (HRES) are one of the solutions and references to configure the power system and generation. The optimal sizing and placement of HRES in the Electrical Distribution Systems (EDS) is a trendy problem that may be solved using different approaches and algorithms due to their high complexity. The HRES presence in the EDS is so beneficial and advantageous, where in general lead to, power losses reduction, voltage profiles enhancement, growth of the system reliability and loadability, also the improvement of the system’s protection and security. Those benefits are reachable unless the RES is properly optimized in location and size based on different objective functions. In this context, this paper is devoted to utilizing a recent nature-inspired metaheuristic approach called Ant Lion Optimizer (ALO) algorithm to optimally integrate HRES units based on photovoltaic (PV) and wind turbine (WT) sources into the EDS when optimizing and minimizing a multi-objective function (MOF) represented as the total of the techno-economic parameters are the total power losses (TAPL), the total voltage deviation (TVD), the total operating time of overcurrent relays (TOT), and the investments cost of both PV and WT power sources (ICPV) and (ICWT), considering the daily uncertainties of their generation and the load demand. The ALO is validated on the test distribution system of IEEE 33-bus.