Load management as a smart grid concept for sizing and designing of hybrid renewable energy systems. Issue 10 (3rd October 2017)

• Record Type: Journal Article
• Authors: Eltamaly, Ali M.; Mohamed, Mohamed A.; Al-Saud, M. S.; Alolah, Abdulrahman I.
• Is Part Of: Engineering optimization. Volume 49:Issue 10(2017)
• Page Start: 1813
• Page End: 1828
• Publication Date: 2017-10-03
• Subjects: Smart grid -- particle swarm optimization -- renewable energy investment -- load management -- HOMER; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1261246
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Optimal sizing of hybrid renewable energy systems (HRES) to satisfy load requirements with the highest reliability and lowest cost is a crucial step in building HRESs to supply electricity to remote areas. Applying smart grid concepts such as load management can reduce the size of HRES components and reduce the cost of generated energy considerably. In this article, sizing of HRES is carried out by dividing the load into high- and low-priority parts. The proposed system is formed by a photovoltaic array, wind turbines, batteries, fuel cells and a diesel generator as a back-up energy source. A smart particle swarm optimization (PSO) algorithm using MATLAB is introduced to determine the optimal size of the HRES. The simulation was carried out with and without division of the load to compare these concepts. HOMER software was also used to simulate the proposed system without dividing the loads to verify the results obtained from the proposed PSO algorithm. The results show that the percentage of division of the load is inversely proportional to the cost of the generated energy.