An applied methodology for optimal sizing and placement of hybrid power source in remote area of South Algeria

Berbaoui, Brahim; Dehini, Rachid; Hatti, Mustapha

doi:10.1016/j.renene.2019.04.011

Cited by 28 publications

(8 citation statements)

References 41 publications

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“…38 Li-ion and lead–acid (LA) batteries can improve the performance of a HES with less net present cost (NPC) and COE. 39 Berbaoui et al 40 use a combination of DG/PV/battery HES to reduce the cost and carbon emission. The PHES system is one of the most suitable storage systems to improve the penetration level of renewable sources in any power plant.…”

Section: Importance Of Hesmentioning

confidence: 99%

A systematic literature review on hybrid energy system

Das

Nandi

Mandal

et al. 2022

Energy & Environment

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Generation of energy has to increase due to society's demand escalation. However, generation from conventional sources is one of the major reasons for greenhouse gas emission, which is a key reason for global warming and climate change issues. To mitigate the emission of greenhouse gas and to protect the environment from pollution, renewable energy sources (RESs) are the one and only effective solution till date. To reduce the fluctuation of RESs on energy generation, a RES-based hybrid system is an innocuous solution. Here, a brief discussion of hybrid systems and their opportunities are presented and reviewed the role of the different combinations of renewable energy-based hybrid systems to reduce environmental pollution, generation costs, improve efficiency, and achieve a continuous power output of the system. A discussion is made on the importance of the site selection and the importance of different kinds of storage systems for energy generation. Result of article gives a brief idea regarding different factors to design future hybrid energy system (HES).

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Section: Importance Of Hesmentioning

confidence: 99%

A systematic literature review on hybrid energy system

Das

Nandi

Mandal

et al. 2022

Energy & Environment

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“…Bebaoui et al, 14 investigated the optimal sizing of PV/battery/diesel system for a remote area in Saudi Arabia. A similar system was also optimised for an isolated rural village in south Algeria using metaheuristic methods by Yahiaoui et al, 15 and a remote summer house in Turkey by Yilmaz and Dincer.…”

Section: Literature Reviewmentioning

confidence: 99%

AC‐coupledhybrid power system optimisation for an Australian remote community

Combe

Mahmoudi

Haque

et al. 2020

Int Trans Electr Energ Syst

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Summary This paper investigates the operation of various optimised AC‐coupled hybrid power systems for an isolated community in South Australia. In addition to diesel generators, various combinations of distributed generators and storage technologies are considered to form different hybrid power systems. Optimal design of the hybrid power systems is implemented using particle swarm optimisation (PSO) algorithm. The performance of the PSO in optimizing the above hybrid systems is discussed in detail. Whilst meeting the power system operational constraints, the minimum levelised cost of electricity (LCOE) of all systems, with various combinations of system components, are calculated. Simulation results obtained for each optimized system are carefully described and analysed. The annual operations of various components in each system are then compared and discussed in detail. A sensitivity analysis by varying the cost of wind turbines and the photovoltaic is also conducted for all hybrid systems. It has been found that the inclusion of energy storage systems (battery and flywheel) can reduce the LCOE and CO2 emission significantly compared to the inclusion of renewable generations (solar and wind) alone. The diesel‐wind‐solar‐battery system is the eco‐friendliest with an annual CO2 emission of 451 t compared to the reference diesel system (1064 t). In addition, the hybrid system consisting of diesel, wind, solar, battery and flywheel is found to be the most economic with a LCOE of 58.94 ¢/kWh compared to the diesel system with a LCOE of 67.17 ¢/kWh.

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“…The results are compared with PSO and MPSO algorithms that approve its best performance and efficacy. 20 Kumar et al 21 studied the optimal sizing of a stand-alone HRES, which uses PV panels, batteries, and micro-hydro energy sources. The sizing of the HRES was determined without load shifting and the load shifting process by using BBO and PSO.…”

Section: Introductionmentioning

confidence: 99%

“…In a recent study, the virus colony search algorithm was used to optimize the hybrid diesel generators/PV/battery system's sizing and placement. The results are compared with PSO and MPSO algorithms that approve its best performance and efficacy 20 . Kumar et al 21 studied the optimal sizing of a stand‐alone HRES, which uses PV panels, batteries, and micro‐hydro energy sources.…”

Section: Introductionmentioning

confidence: 99%

Size optimization of a stand‐alone hybrid photovoltaic/wind/battery renewable energy system using a heuristic optimization algorithm

Ayan

Toylan

2022

Intl J of Energy Research

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Today, it has become imperative to design these systems at optimum size to make reliable and minimize the total costs of renewable energy systems. There are many studies about size optimization in the literature. However, few studies have approached the problem with a heuristic method at different levels of reliability and compared the results with commercial software. This paper aims to fill this gap by proposing an artificial bee colony (ABC) algorithm with different reliability ratios for renewable energy systems size optimization and comparing the results of the proposed method with the results of the HOMER Pro software.The current methodology is validated with a real case study on the load demand of a school building (latitude 41.37, longitude 27.3) in Turkey. The peak and average load per day for the school building are 7.4 kW and 51.8 kW, respectively.The proposed method has presented 14.71%, 14.36%, and 6.23%, respectively, more economical solutions than HOMER Pro software for hybrid photovoltaic (PV)/wind/battery, PV/battery, and wind/battery renewable energy system scenarios. In addition, the ABC algorithms with different reliability ratios (%0, %0.2, %1, and %3) are used to analyze the effect on the system cost of the loss of power supply probability. According to the results, the hybrid renewable energy system consisting of 230 PV panels, 6 wind turbines, and 34 batteries is the most economical option with a total annual cost of $42 717.58 compared to stand-alone systems with a reliability %0 ratio. It has been seen that increasing the loss of power supply probability reduces system costs. Consequently, this study shows that using the ABC algorithm in size optimization of renewable energy systems yields accelerates the decision-making process and more optimized solutions.

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An applied methodology for optimal sizing and placement of hybrid power source in remote area of South Algeria

Cited by 28 publications

References 41 publications

A systematic literature review on hybrid energy system

A systematic literature review on hybrid energy system

AC‐coupledhybrid power system optimisation for an Australian remote community

Size optimization of a stand‐alone hybrid photovoltaic/wind/battery renewable energy system using a heuristic optimization algorithm

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