A multi‐objective approach for the optimal design of a standalone hybrid renewable energy system

Abstract

Dependency on alternative energy sources has increased due to the depletion of fossil fuel and their costs. Even though the usage of renewable energy sources (RESs) has significantly reduced these problems, there are quite a few challenges like reliability, lower efficiency, and high cost which can be overcome by the integration of multiple RES to meet the energy demand. In this study, a multi-objective approach is proposed to get the best optimal sizing configuration of a standalone hybrid renewable energy system (HRES) by choosing the minimization of the total cost of the system and loss of power supply probability. In this regard, wind turbines, solar photovoltaic (PV), battery storage systems, biomass, and diesel generators are used to design HRES. The proposed approach deals with the intermittent nature of wind and solar PV power generation using Weibull distribution to model wind speed and solar irradiance. The normal distribution is used to model the load demand. The backtracking search algorithm capable of solving single-objective optimization problems is modified to handle the multi-objective optimization problem and to find the optimal sizes of wind turbines, solar PV, battery storage system, diesel, and biomass generators for efficient HRES performance.

Designing, optimizing and comparing distributed generation technologies as a substitute system for reducing life cycle costs, CO2 emissions, and power losses in residential buildings

“…In [15], the tunicate swarm algorithm (TSA) is proposed to solve the problem of optimizing an independent micro-grid, which includes PV, WT, battery, and DG, designed to power a remote village in Egypt with the goals of LPSP, COE, NPC, and TAC. In [16], two Pareto multi-objective backtrack search algorithm (PMBSA) and NSGA-II algorithms are used to obtain the best configuration of the independent hybrid renewable energy system. This system has been studied in two different scenarios: PV/ WT/ battery/ DG and PV/ WT/ battery/ DG/ biomass generator (BMG), considering the objectives of LCC, LPSP, CO2, and dump load.…”

“…When the DG is working, the amount of diesel used is computed by equation (16). Fuel usage is zero when DG is not in use.…”