Control of hybrid DC/AC microgrid system employing fuel cell and solar photovoltaic sources using grey wolf optimization

Al-Antaki, A. M.; Golubchik, T V; Al-Furaiji, Mushtaq A.; Mohammed, Hayder J.

doi:10.1093/ce/zkac046

Cited by 10 publications

(1 citation statement)

References 34 publications

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“…A hybrid DC/AC MG consisting of PV and FC is presented, where the main aim is to improve the power quality of the MG using grey wolf optimization (GWO) based on the MPPT technique under MATLAB/Simulink. Furthermore, it ensures the most active power supply to the main grid [16]. In [17] a typical hybrid microgrid based on PV and FC where an equalized power flow can be achieved FLC-based voltage-frequency control (V/f) without power sharing between sources.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Renewable Sources Implementation for a DC Microgrid with Flatness-Nonlinear Control to Achieve Efficient Energy Management Strategy

Furqan A. Abbas,

Adel A.Obed,

Ammar Alhasiri

et al. 2023

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The significance of energy management using sustainable energy sources and the merits of DC in AC microgrids are due to less complexity, smaller size, and fewer conversion stages. In this paper, we propose a standard-islanded DC microgrid with photovoltaic (PV) and fuel cell (FC) primary sources and a supercapacitor (SC) storage unit. The proposed system provides high-quality energy supplied to the DC load under different levels of solar irradiation and changing loading situations. Taking into account the slow dynamic response of the FC, the SC provides transient periods under various conditions to maintain stability of the system. Because of the nonlinear system's behavior, differential flatness-based control has been applied mainly in nonlinear systems where the number of variables to the outputs is reduced with a robust control system established through inherited parameter reductions and equality constraints due to the system trajectories (x, u) is straightforwardly estimated from flat output trajectories y and their derivatives without any differential equation integration. The PI control is executed when the SC adjusts the DC bus voltage variation. Therefore, the objective is to provide management that ensures stable DC bus voltage and arranges power sharing between variable sources and power balance with a load. Flatness PI has been investigated and has proven effective in offering faster response without overshoot and greater robustness.

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Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Renewable Sources Implementation for a DC Microgrid with Flatness-Nonlinear Control to Achieve Efficient Energy Management Strategy

Furqan A. Abbas,

Adel A.Obed,

Ammar Alhasiri

et al. 2023

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An efficient energy-management strategy for a DC microgrid powered by a photovoltaic/fuel cell/battery/supercapacitor

et al. 2022

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The outcome of this paper is to suggest an efficient energy-management strategy (EMS) for a direct-current (DC) microgrid (MG). The typical MG is composed of two renewable energy sources [photovoltaic (PV) systems and fuel cells (FCs)] and two energy-storage elements (lithium-ion battery and supercapacitor). An EMS was proposed to ensure optimal bus voltage with a power-sharing arrangement between the load and the sources. As a result, in the suggested DC MG, non-linear flatness control theory was used instead of the traditional proportional-integral control approach. The suggested EMS is intended to supply high power quality to the load under varying load conditions with fluctuating solar irradiation while considering the FC status. To validate and prove the effectiveness of the proposed EMS, a MATLAB® environment was used. In addition, the output power of the PV system was maximized using the particle swarm optimization algorithm as a maximum power point tracking (MPPT) technique to track the MPP of the 3000-W PV system under different irradiance conditions. The results show that the suggested EMS delivers a stable and smooth DC bus voltage with minimum overshoot value (0.1%) and improved ripple content (0.1%). As a result, the performance of the DC MG was enhanced by employing the flatness control theory, which provides higher power quality by stabilizing the bus voltage.

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An analysis of the implementation of a hybrid renewable-energy system in a building by considering the reduction in electricity price subsidies and the reliability of the grid

Al Hasibi,

Haris

2023

Clean Energy

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This article discusses the implementation of a hybrid renewable-energy system to satisfy the electricity requirements of a building. The analysis is based on optimization calculations performed using HOMER software. The components of the simulated hybrid renewable-energy system include photovoltaics, generators powered by biogas, converters and a grid. The input data utilized by the HOMER software are derived from measurements and surveys. The electric load curve is obtained through measurements at the location of the case study. Through surveys, parameters pertaining to the components of the hybrid renewable-energy system were gathered. The analysis was carried out using two sensitivity variables, namely electricity price and grid reliability. On the basis of these two sensitivity variables, optimal system configuration, net present cost, energy cost, return on investment, internal rate of return and payback period were analysed. The results of the analysis indicated that reducing subsidies, which results in higher electricity prices, provided opportunities for economically competitive hybrid renewable-energy systems. With electricity prices of US$0.094/kWh, the return of investment and the internal rate of return increased to 15% and 19%, respectively, and the payback period decreased to 5.3 years. When a hybrid renewable-energy system is implemented in regions with low grid reliability, the same phenomenon occurs.

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Control of hybrid DC/AC microgrid system employing fuel cell and solar photovoltaic sources using grey wolf optimization

Cited by 10 publications

References 34 publications

A Hybrid Renewable Sources Implementation for a DC Microgrid with Flatness-Nonlinear Control to Achieve Efficient Energy Management Strategy

A Hybrid Renewable Sources Implementation for a DC Microgrid with Flatness-Nonlinear Control to Achieve Efficient Energy Management Strategy

An efficient energy-management strategy for a DC microgrid powered by a photovoltaic/fuel cell/battery/supercapacitor

An analysis of the implementation of a hybrid renewable-energy system in a building by considering the reduction in electricity price subsidies and the reliability of the grid

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