Solar PV based nanogrid integrated with battery energy storage to supply hybrid residential loads using single‐stage hybrid converter

Goud, Pandla Chinna Dastagiri; Gupta, Rajesh

doi:10.1049/iet-esi.2019.0030

Cited by 28 publications

(4 citation statements)

References 25 publications

(28 reference statements)

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“…A centralized control had been used that acts on information from sensors measuring the power production and consumption of the system [10].…”

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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“…A centralized control had been used that acts on information from sensors measuring the power production and consumption of the system [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis and simulation of optimized micro-grid

Ali¹,

Usman²,

Aziz³

et al. 2022

murjet

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“…However, 48 V supply is favourable, as it is able to power most of the common residential loads [16]. Although both DC and AC nanogrids have their merits, i.e., for DC systems the conversion losses are minimised, whereas for AC systems the initial capital cost is reduced, as the existing AC equipment can be used, a hybrid AC/DC system can benefit from both configurations, as the number of conversions is reduced for supplying all the existing AC and DC loads [17]. However, one of the main challenges for hybrid systems is to force the AC grid current at the point of common coupling to be a balanced 3-phase system with minor harmonics, while maintaining controllability of the power flow irrespectively of the instantaneous AC load [18].…”

Section: Types Of Nanogrid Topologiesmentioning

confidence: 99%

Design of a Smart Nanogrid for Increasing Energy Efficiency of Buildings

et al. 2021

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Distributed generation (DG) systems are growing in number, diversifying in driving technologies and providing substantial energy quantities in covering the energy needs of the interconnected system in an optimal way. This evolution of technologies is a response to the needs of the energy transition to a low carbon economy. A nanogrid is dependent on local resources through appropriate DG, confined within the boundaries of an energy domain not exceeding 100 kW of power. It can be a single building that is equipped with a local electricity generation to fulfil the building’s load consumption requirements, it is electrically interconnected with the external power system and it can optionally be equipped with a storage system. It is, however, mandatory that a nanogrid is equipped with a controller for optimisation of the production/consumption curves. This study presents design consideretions for nanogrids and the design of a nanogrid system consisting of a 40 kWp photovoltaic (PV) system and a 50 kWh battery energy storage system (BESS) managed via a central converter able to perform demand-side management (DSM). The implementation of the nanogrid aims at reducing the CO2 footprint of the confined domain and increase its self-sufficiency.

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“…Buck converter is simple and efficient. It gives the output voltage lower than the input voltage and provides a continuous output current (Goud and Gupta, 2020). The Buck converter requires a large capacitor to smoothen the discontinuous input current (Dursun and Gorgun., 2017).…”

Section: Structure and Components Of Dcngmentioning

confidence: 99%

Review of Control Strategies for DC Nano-Grid

2021

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As an emerging energy management technology, the DC nano-grid coordinates renewable energy sources output through demand-side management which would provide more options and flexibility for the dispatch of smart buildings and communities with high reliability and efficiency. In this context, this article has analyzed the structure and components of the DC nano-grid. The role and components in DC nano-grid are reviewed in this article. Then the crucial control technologies for the DC nano-grid in recent years are investigated from two aspects: local control and coordinated control, which contains control schemes such as voltage/current control technology, power-sharing technology and cooperative control technology. Different control strategies at various levels are compared and their application scenarios, advantages and disadvantages are also analyzed. The current research progress and challenges are summarized at the end of this article.

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Solar PV based nanogrid integrated with battery energy storage to supply hybrid residential loads using single‐stage hybrid converter

Cited by 28 publications

References 25 publications

Analysis and simulation of optimized micro-grid

Analysis and simulation of optimized micro-grid

Design of a Smart Nanogrid for Increasing Energy Efficiency of Buildings

Review of Control Strategies for DC Nano-Grid

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