A five bus AC–DC hybrid nanogrid system for PV based modern buildings

Dutta, Subhendu; Chatterjee, Kishore

doi:10.1049/rpg2.12065

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…Renewable Energy Sources (RESs), Distributed Generation (DG), and Distribution Systems will be deployed soon in power systems leading, among others, to significant changes in the way distribution networks are currently operated, one such distributed generation is μG [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and simulation of optimized micro-grid

Ali¹,

Usman²,

Aziz³

et al. 2022

murjet

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The centralized power grid bears a heavy burden in a time when consumers expect an uninterrupted reliable power supply, a reduction in carbon emissions, increased efficiency within the national grid, and power supplied to remote communities. One such structure is used to implement this type of control that is based on small- scale Distributed Generation (DGs), at a single house or a small building level: micro-grid (μG). A μG is an autonomous, sustainable hybrid framework that uses renewable and non-renewable energy resources to supply continuous electricity to the load. Taking this scenario into account, the three sources of generation that have been utilized in the proposed μG are Photovoltaic (PV) array, Fuel Cell (FC), and Wind Turbine (WT) in this research paper. The active and reactive power of all three generation resources has been controlled using various controllers, i.e., integral, proportional-integral, proportional derivative, proportional integral derivative, fractional-order proportional-integral, Fractional Order Proportional Integral Derivative (FOPID), and Sliding Mode Controller (SMC). An advanced optimization technique based on a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm has been utilized to optimize all these controllers. The integral square error has been taken as the objective function for both optimization algorithms. Finally, a graphical and tabular comparative analysis of all optimized controllers along with their control parameters and performance indexes has been evaluated to find the best optimal solution using MATLAB/Simulink. The performance of SMC has been surpassed the performance of all other optimized controllers for the power stability analysis. Moreover, a smart switching algorithm has been introduced for switching between the generation resources following the load demand and cost of the system to operate the μG more economically. Finally, a case study has been performed in which the smart switching algorithm has been utilized to switch to the best available generation resource in case of any fault at the generation side to provide uninterrupted power to the attached loads.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis and simulation of optimized micro-grid

Ali¹,

Usman²,

Aziz³

et al. 2022

murjet

View full text Add to dashboard Cite

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“…In [6][7][8], comprehensive reviews of issues such as power management strategies and protection methods in MGs are presented. The overviews of the MGs control methods are given in [9][10][11][12][13]. Harmonics distortions are one of the main challenges which need to be resolved before MGs become commonplace.…”

Section: Introductionmentioning

confidence: 99%

A novel control approach for harmonic compensation using switched power filter compensators in micro‐grids

Khosravi

Abdolmohammadi

Bagheri

et al. 2021

IET Renewable Power Gen

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This paper presents a new harmonic compensation system using filter compensator devices in a hybrid micro‐grid (MG). In order to reduce the amplitude of current and voltage harmonics, two separate systems, including a switched power filter compensator (SPFC) and a switched active power filter (SAPF) have been used in the AC side of the MG. The gain coefficients of both SAPF and SPFC modules (with different controllers) using meta‐heuristic algorithms are optimized and applied for three harmonic loops of voltage, current and controller error to obtain an optimal response for reducing the harmonic amplitude of current and voltage. The objective function, containing controller error, current and voltage harmonics is defined and followed by the optimized coefficients for the PID controller of each of the SAPF and SPFC modules. To find the best answer to this problem, the related gains using four meta‐heuristic algorithms, including artificial bee colony (ABC), particle swarm optimization (PSO), harmonic search (HS), and differential evolution (DE) are optimized and compared. The simulation results show that using the proposed method, the total harmonic distortion of the system can be significantly reduced.

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Utilization of human to nanogrid to support the energy storage system

et al. 2021

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The serious growing concern of climate change has pushed the adoption of the sustainable energy systems such as wind energy, solar energy, etc. Likewise the renewable energy, energy harvesting from human motion may be utilized in various purposes. Based on the distributed power generation technology, the present study proposes a model of Human to Nanogrid that harnesses and stores the human energy used during a workout into banks of supercapacitors.There are specific machines at the fitness center that were chosen based on the maximum load they can lift and the exercises they can perform on specific muscle groups. This study examines the mechanical energy that different users generate from a machine over time, and compares the power output of the humans and the consumption of energy in a gymnasium. To calculate the payback period, break-even analysis is conducted based on the collected data and the energy savings, emission reduction, and impact reduction analyses are conducted. K E Y W O R D Shuman energy harvesting, human powered gym, human to nanogrid, supercapacitor

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A five bus AC–DC hybrid nanogrid system for PV based modern buildings

Cited by 4 publications

References 34 publications

Analysis and simulation of optimized micro-grid

Analysis and simulation of optimized micro-grid

A novel control approach for harmonic compensation using switched power filter compensators in micro‐grids

Utilization of human to nanogrid to support the energy storage system

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