Optimal sizing of Marine Current Energy Based Hybrid Microgrid

Lazaar, Nouhaila; Fakhri, E.; Barakat, Mahmoud R.; Gualous, Hamid; Sabor, Jalal

doi:10.24084/repqj18.417

Cited by 4 publications

(2 citation statements)

References 21 publications

(29 reference statements)

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“…For the improvement of a sustainable hybrid scheme the PSO be implemented considering the loss of load probability (LLP) and loss of power supply probability (LPSP) criteria. For the attainment of the optimum system design, which contains preferred LLP and LPSP with a least cost an objective function has been computed and a reliability constraint also considered for the calculation of the system cost Lazaar, Fakhri, Barakat, Gualous, and Sabor (2020); Selvam, Velavan, Soundarrajan, et al (2017). Furthermore, PSO technique can be considered assuring a straightforward model, with simply implemented programming, robust approaches to control variables.…”

Section: Literatur Reviewmentioning

confidence: 99%

A novel evolutionary algorithm named oppositional based chaotic tree seed algorithm (OCTSA) applied for energy cost minimization in hybrid microgrid system for different locations in India

Mandal

Chatterjee²,

Roy

et al. 2023

Preprint

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The exploration work performed in this paper launches a relatively modern method named oppositional based chaotic tree seed algorithm (OCTSA) for explaining the utilization of the hybrid micro-grid system (HMGS), that includes renewable sources with diesel generator applied for three dissimilar zones of India. Existing algorithms are failed to handle complicated issues competently and moreover, objective function is struck to local optimal solution. In this paper, not only chaotic but also oppositional-based learning (OBL) is incorporated to enhance convergence speed with the validity of a basic tree seed algorithm. For finding better solutions, OCTSA is applied to optimally supervise the operation of the small micro-grid with installed renewable energy sources and results are compared with optimization techniques like particle swamp optimization and bio geography-based optimization. This paper focuses on two key factors, namely the cost efficiency of the system and the reliability of service like bare minimum values for loss of power supply probability (LPSP), a no of autonomy days (AD), and a renewable fraction (RF). Results too contain optimum photo voltaic power, no of wind turbine, diesel generator. Analysis of simulation results concludes that the proposed OCTSA approaches upto (15-19)% reduction in electricity price which enhances reliability and financial feasibility of hybrid system under various environmental uncertainties.

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Section: Literatur Reviewmentioning

confidence: 99%

A novel evolutionary algorithm named oppositional based chaotic tree seed algorithm (OCTSA) applied for energy cost minimization in hybrid microgrid system for different locations in India

Mandal

Chatterjee²,

Roy

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Indeed, in [6], the hydrogen bank was used for a PV-TST system to meet the load during fluctuations. In [7], an islanded DC system was studied, including tidal energy, solar energy, and wind energy, along with battery storage. In [8], as energy storage components, a combination of an electrolyzer, hydrogen storage, and a fuel cell stack was used for a TST system.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Optimal Sizing Design for a Tidal Stream Turbine–Battery System

Toumi

Elbouchikhi

Zhou

et al. 2023

JMSE

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This article deals with the techno-economic optimal sizing of a tidal stream turbine (TST)–battery system. In this study, the TST system consists of a turbine rotor and a permanent magnet synchronous generator (PMSG) associated with a three-phase converter coupled to a DC bus. A battery is used within the system as an energy storage system to absorb excess produced power or cover power deficits. To determine the optimal sizing of the system, an iterative approach was used owing to its ease of implementation, high accuracy, and fast convergence speed, even under environmental constraints such as swell and wave effects. This technique is based on robust energy management, and the recursive algorithm includes the deficiency of power supply probability (DPSP) and the relative excess power generation (REPG) as technical criteria for the system reliability study, and the energy cost (EC) and the total net present cost (TNPC) as economic criteria for the system cost study. As data inputs, the proposed approach used the existing data from the current speed profile, the load, and economic parameters. The desired output is the system component optimal sizing (TST power, and battery capacity). In this paper, the system sizing was studied during a one-year time period to ensure a more reliable and economical system. The results are compared to well-known methods such as genetic algorithms, particle swarm optimization, and software-based (HOMER) approaches. The optimization results confirm the efficiency of the proposed approach in sizing the system, which was simulated using real-world tidal velocity data from a specific deployment site.

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