Abstract
Hybrid renewable energy systems, combining various kinds of technologies, have shown relatively high capabilities to solve reliability problems and have reduced cost challenges. The use of hybrid electricity generation/storage technologies is reasonable to overcome related shortcomings. While the hybrid renewable energy system is attractive, its design, specifically the determination of the size of PV, wind, and diesel power generators and the size of energy storage system in each power station, is very challenging. Therefore, this paper will focus on the system planning and operation of hybrid generation systems, and several corresponding topics and papers by using intelligent computing methods will be reviewed. They include typical case studies, modeling and system simulation, control and management, reliability and economic studies, and optimal design on a reliable hybrid generation system.
Highlights
The limited reserves of fuel oils and their unstable prices have significantly increased the interest in renewable energy sources
The motivation behind the use of renewable energy sources is the reduction of CO2 emissions. This is especially true in isolated, standalone, small islands where the access to renewable energy sources is the only solution to meet their energy needs
The optimum sizing method can help to guarantee the lowest investment with full use of the PV array, wind turbine and energy storage system, so that the hybrid system can work at the optimum conditions in terms of investment and system reliability
Summary
The limited reserves of fuel oils and their unstable prices have significantly increased the interest in renewable energy sources. The optimum sizing method can help to guarantee the lowest investment with full use of the PV array, wind turbine and energy storage system, so that the hybrid system can work at the optimum conditions in terms of investment and system reliability Different sizing methods, such as probabilistic approach, iterative approach and artificial intelligence method, can be applied to reach a techno-economically optimum hybrid renewable energy system. This paper will concentrate on reviewing significant research issues and current state about the hybrid renewable generation system These topics include several typical case studies of renewablebased micro-grids, modelling and simulation for renewable energy systems, control and management of hybrid renewable energy systems, reliability and economic studies, and optimal design of a reliable hybrid generation system. A number of intelligent computing methods have been utilized in these researches and most of them will be summarized in this paper
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