Andrea Settanni; Giorgos Jimenez
Abstract
In this paper, a new technical and economic analysis for a hybrid system of energy has been performed. The study presents a new procedure for optimal modeling of the hybrid renewable energy system (HRES). The main idea is to optimize the hybrid system configuration based on a multiple-criteria optimization, ...
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In this paper, a new technical and economic analysis for a hybrid system of energy has been performed. The study presents a new procedure for optimal modeling of the hybrid renewable energy system (HRES). The main idea is to optimize the hybrid system configuration based on a multiple-criteria optimization, including three objectives. To simplify the problem and turning it to a single objective problem of optimization, ε-constraints technique has been used. This optimization is done by minimizing the capital cost (CC) and maximizing the electrical power effectiveness and the power supply consistency. To provide a well solution, a new amended design of the rain optimizer has been employed. The method provided a pareto solution with three groups that can be selected based on the decision maker’s purpose.
Giorgos Jimenez
Abstract
This paper addresses one of the most important challenges in utilization of renewable energy source the design of a system that incorporates this type of energy sources, which is the size determination of system component. A meta-model of hybrid renewable power system is studied here which can include ...
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This paper addresses one of the most important challenges in utilization of renewable energy source the design of a system that incorporates this type of energy sources, which is the size determination of system component. A meta-model of hybrid renewable power system is studied here which can include many sorts of renewable and nonrenewable energy sources as well as energy storage. This system is then optimized in terms of component size to supply the load with minimum overall cost. In addition, a novel optimization algorithm is proposed here named modified marine predators optimization technique which addresses the shortcomings observed in classic and metaheuristic optimization algorithm which are slow convergence, local optima, and immature convergence. Moreover, a real-world case study in an isolated location is analyzed here and a hybrid renewable power system with diesel generator, PV panels, and battery and the proposed optimization algorithm are implemented to determine optimum component size. The results suggest that, due to high investment cost, only a battery with very small capacity is economically advisable. Utilization of the proposed methodology here can help the system designers and operators to increase renewable energy penetration with higher reliability and lower costs.
