Using firefly algorithm to optimally size a hybrid renewable energy system constrained by battery degradation and considering uncertainties of power sources and loads

In this paper, the planning of a hybrid system of wind turbine units, photovoltaic panels, and battery storage is presented by taking into account the limitation of the storage degradation. The scheme minimizes the construction and maintenance cost of power sources and storage equipment. The constra...

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Bibliographic Details
Published in:Heliyon Vol. 10; no. 7; p. e26961
Main Authors: Yuan, Tianmeng, Mu, Yong, Wang, Tao, Liu, Ziming, Pirouzi, Afshin
Format: Journal Article
Language:English
Published: England Elsevier Ltd 15.04.2024
Elsevier
Subjects:
algorithms
batteries
Battery degradation
deterministic models
Firefly algorithm
Optimal sizing
power generation
Renewable energy sources
solar energy
storage equipment
Uncertainty
wind
wind turbines
Renewable energy sources
Uncertainty
Optimal sizing
Battery degradation
Firefly algorithm
ISSN:2405-8440, 2405-8440
Online Access:Get full text
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Summary:In this paper, the planning of a hybrid system of wind turbine units, photovoltaic panels, and battery storage is presented by taking into account the limitation of the storage degradation. The scheme minimizes the construction and maintenance cost of power sources and storage equipment. The constraints of the problem include the operating model of the mentioned elements, the limitation of the number of the mentioned elements, the limitation of the storage degradation, and the power balance in the hybrid system. This scheme is subject to uncertainties of the demand and output power generation of wind turbines and photovoltaics, which are modeled using a scenario-based stochastic optimization. The problem has a mixed-integer non-linear structure, and the paper adopts the firefly algorithm to solve the problem. The contributions of the paper include considering the degradation model of the battery, presenting a stochastic modelling for planning the islanded system, and taking into account the uncertainties of load and renewable power. Finally, based on the numerical results, a low planning cost is obtained for the hybrid system in the case of using renewable resources. Batteries are capable of providing flexibility for the hybrid system so that they can cover oscillations of renewable power with respect to the load. The firefly algorithm can find a reliable optimal solution. Stochastic modeling raises the planning cost of the islanded system in comparison to the deterministic model, but it yields a more reliable solution. The battery degradation model incurs no additional costs in system planning, although it offers a far more precise representation of the battery's behavior. •Planning of the hybrid PV/WT/batteries system based on stochastic optimization.•Considering the limitation of battery degradation on battery operation during consecutive charge/discharge operation.•Modeling the uncertainties of the demand and output power of PVs and WTs.
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ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2024.e26961