Journal Article10.5755/j02.eie.33872
Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design
07 Sep 2023
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TL;DR: The developed optimisation tool is much faster than the HOMER programme and can produce similar results. It uses a heuristic-based optimisation technique and incorporates the capacity shortage parameter as a reliability parameter.
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Abstract: In this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources (HOMER) optimisation programme were compared. The tool is much faster than the HOMER programme and can produce almost the same results as HOMER. In addition, a heuristic-based optimisation technique was used for the first time to generate extremely comprehensive findings. The capacity shortage parameter, which is not used much in the literature, is used as a reliability parameter. The cost of energy (COE) was used as the cost function. The results are promising for detailed optimisation studies in this area.
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Citations
Optimal Design and Techno-Economic Analysis of a Hybrid System to Supply a Remote Fishpond with Electricity and Heat
Milan V. Tomovic,Dardan Klimenta,Milos J. Milovanovic,Bojan D. Perovic,Nikolay L. Hinov +4 more
TL;DR: Optimal design and techno-economic analysis of a hybrid system to supply a remote fishpond with electricity and heat in eastern Serbia. The optimal system has the lowest total net present cost and levelized cost of energy, while significantly reducing greenhouse gas emissions.
References
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Lead-acid-battery storage model for hybrid energy-systems
James F. Manwell,Jon G. McGowan +1 more
TL;DR: A new battery model developed for use in time series performance models of hybrid energy systems, based on the approach of chemical kinetics, which is specifically concerned with the apparent change in capacity as a function of charge and discharge rates.
643
Techno-economic analysis and size optimization of an off-grid hybrid photovoltaic, fuel cell and diesel generator system
TL;DR: In this article, a multi-objective design of a hybrid system composed of photovoltaic (PV), fuel cell (FC) and diesel generator (DG) to supply electric power of an off-grid community in Kerman, south of Iran in the presence of operating reserve (OR) and uncertainties of load and solar power is presented.
236
Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems
TL;DR: In this paper, the authors investigated optimization techniques developed from past to present to solve this problem and especially to determine the efficacy of multi-objective optimization approaches, which is an important indicator of development.
232
A flower pollination optimization algorithm for an off-grid PV-Fuel cell hybrid renewable system
TL;DR: The Flower Pollination Algorithm (FPA), as an efficient recent metaheuristic optimization method, proposed to estimate the optimum number of both PV panels and the FC/electrolyzer/H2 storage tanks set mandatory where the least total net present value (TNPV) is reached.
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