Abstract
This paper introduces an optimal sizing algorithm for a hybrid renewable energy system using smart grid load management application based on the available generation. This algorithm aims to maximize the system energy production and meet the load demand with minimum cost and highest reliability. This system is formed by photovoltaic array, wind turbines, storage batteries, and diesel generator as a backup source of energy. Demand profile shaping as one of the smart grid applications is introduced in this paper using load shifting-based load priority. Particle swarm optimization is used in this algorithm to determine the optimum size of the system components. The results obtained from this algorithm are compared with those from the iterative optimization technique to assess the adequacy of the proposed algorithm. The study in this paper is performed in some of the remote areas in Saudi Arabia and can be expanded to any similar regions around the world. Numerous valuable results are extracted from this study that could help researchers and decision makers.
Highlights
In recent years, interest in renewable energy sources (RES) for power generation is progressively gaining significance in the entire world due to fossil fuel depletion, high cost, and increasing environmental concerns
A Particle swarm optimization (PSO)-based MATLAB algorithm has been created to determine the optimum size of a PV/ wind turbines (WT)/batteries/Diesel generator (DG) system in order to supply a certain load in different remote sites in Saudi Arabia
The new proposed program based-PSO (NPPBPSO) gives the possibility to change the penetration ratio (The proportion of wind generation to the total renewable generation (PR)) with certain increment to decide the optimum contribution from hybrid renewable energy system (HRES)
Summary
Interest in renewable energy sources (RES) for power generation is progressively gaining significance in the entire world due to fossil fuel depletion, high cost, and increasing environmental concerns. Utilization of different RES with storage and backup units to form a hybrid renewable energy system (HRES) can give a more economic and reliable source of energy [1]. Due to the non-linear response of system components and the random nature of RES and load profile, smart grid is utilized to suit and incorporate these units in order to move the power around the system as efficiently and economically as possible [2]. One of the most important issues in the recent studies is to optimize the components of HRES to meet the load requirements with possible minimum cost and highest reliability.
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