Control of the power electronics interface of a PV source in a smart residential DC nanogrid

Malkawi, Ahmad; Lopes, Luiz A. C.

doi:10.1109/ccece.2016.7726735

Cited by 6 publications

(7 citation statements)

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“…Unidirectional power electronic converters are employed for power sources such as PV and wind turbines. In the case of PV, the required DC-AC converter usually consists of two stages: A step-up (boost) DC-DC converter and a single or three-phase DC-AC converter [7,12,13]. Two-stage converters, now bidirectional, connect energy storage units, usually batteries, to an AC nanogrid [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…In the case of PV, the required DC-AC converter usually consists of two stages: A step-up (boost) DC-DC converter and a single or three-phase DC-AC converter [7,12,13]. Two-stage converters, now bidirectional, connect energy storage units, usually batteries, to an AC nanogrid [12][13][14]. In AC nanogrids, the DC-AC converters are responsible for voltage and frequency regulation of the AC bus in islanding (stand-alone) and grid-connecting modes [15,16].…”

Section: Introductionmentioning

confidence: 99%

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A Droop-Controlled Interlink Converter for a Dual DC Bus Nanogrid with Decentralized Control

2023

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This paper proposed a dual DC bus nanogrid with 380 V and 48 V buses and allows the integration of distributed energy resources on two buses. The proposed system employs an interlink converter to enable power sharing between the buses. The integration of distributed energy resources has been found to enhance the reliability of the low-voltage bus in comparison to those that lack such integration. The integration process requires the introduction of a new V-I curve for the interlink converter within a DC nanogrid controlled by DC bus signaling and droop control. Furthermore, selecting a power electronics converter for the interlink converter is essential. This paper employs a dual active bridge with galvanic isolation as an interlink converter and proposes a control strategy for the converter that relies on DC bus signaling and droop control. Moreover, this control methodology serves the purpose of preventing any detrimental impact of the interlink converter on the DC buses through the reprogramming of the V-I curve. Subsequently, the suggested control methodology underwent simulation testing via MATLAB/Simulink, which included two different test categories. Initially, the DAB was evaluated as an interlink converter, followed by a comprehensive assessment of the interlink converter in a complete dual DC bus nanogrid. The results indicate that the DAB has the potential to function as an interlink converter while the suggested control approach effectively manages the power sharing between the two buses.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Droop-Controlled Interlink Converter for a Dual DC Bus Nanogrid with Decentralized Control

2023

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“…The concept of micro-grid, consisting of distributed renewable resources, distributed storage units and loads, has been proposed to enhance the stability and reliability of power grids and make conventional power grids suitable for distributed renewable generations. The similar concept can also be extended to residences and small building, which is termed as Nano-grids [3].…”

Section: List Of Illustrationsmentioning

confidence: 99%

“…Nano-grids is a low voltage microgrid at household-user end. A household nano-grid system is comprised of renewable energy resources such as Photovoltaic (PV) and wind, an interface to a local utility grid, energy storage units, and customer loads [3]. Bi-directional power flow and real-time interactive information flow can be achieved by nano-grids, providing significant convenience for the balance between suppliers and customers [5].…”

Section: List Of Illustrationsmentioning

confidence: 99%

Energy Management Strategy of PV Grid-Connected Household Nano-Grid System

Ding¹

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This thesis investigates the long-term optimal scheduling algorithm proposed for the energy storage system, to better organize charging/discharging action of battery for the economic operation in a PV grid-connected household nano-grid system. To fulfill this goal, the household nano-grid is modeled, including PV module, energy storage system, DC/AC inverter and their corresponding controllers. Battery is used to execute the optimal power command scheduled by long-term optimal scheduling algorithm. The optimal power scheduling algorithm is based on the rolling optimization method, which can realize the minimum operational cost of the PV nano-grid system. Moreover, a smoothing function is introduced to alleviate the power fluctuation of the exchanging power between PV nanogrid system and the main power grid caused by PV and residential loads. The validity of the proposed energy management strategy in upper Energy Management System (EMS) has been examined using simulations in MATLAB/Simpower. iii Acknowledgements I would first like to express my sincere gratitude to my Professor Xiaoyu Wang for his suggestion, instruction and guidance of my Master study and research. His invaluable guidance, constant encouragement inspires me a lot when I was troubled with difficulties. Without his continuous support and care, it would have not been possible to complete this thesis. I would also show my warm thank to the colleagues in my research group:

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“…The most popular form of SSM within the nanogrid literature is droop control [25][26][27][28][29][30][31][32][33][34]. In DC nanogrids the bus voltage is monitored, as the load increases, the bus voltage "droops" (while in AC, frequency droop can be used) with certain voltage levels engaging the appropriate supply (eg 380V-375V photovoltaic supply, 375V-370V battery bank supply added, 370V-365V grid supply added).…”

Section: Nanogrid Controlmentioning

confidence: 99%

Nanogrid topology, control and interactions in a microgrid structure

Burmester¹

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<p>Distributed generation, in the form of small-scale photovoltaic installations, have the potential to reduce carbon emissions created by, and alleviate issues associated with, centralised power generation. However, the major obstacle preventing the widespread integration of small-scale photovoltaic installations, at a residential level, is intermittency. This thesis addresses intermittency at a household/small community level, through the use of "nanogrids". To date, ambiguity has surrounded the nanogrid as a power structure, which is resolved in this thesis through the derivation of concise nanogrid definition. The nanogrid, a power distribution system for a single house/small building, is then used to implement demand side management within a household. This is achieved through the use of a hybrid central control topology, with a centralised coordinating controller and decentralised control nodes that have the ability to sense and modulate power flow. The maximum power point tracker is used to observe the available photovoltaic power, and thermostatically controlled loads present in the household are manipulated to increase the correlation between power production and consumption. An algorithm is presented which considers the expected power consumption of the thermostatically controlled loads over a 24 hour period, to create a hierarchical ratio. This ratio determines the percentage of available photovoltaic power each load receives, ensuring the loads that are expected to consume the most power are serviced with the largest ratio of photovoltaic power. The control system is simulated with a variety of household consumption curves (altered for summer/winter conditions), and a week of realistic solar irradiance data for both summer and winter. In each simulated scenario, a comparison was made between controlled and uncontrolled households to ascertain the extent grid power consumed by a household could be reduced, in turn reducing the effect of intermittency. It was found that the system had the ability to reduce the grid power consumed by as much as 61.86%, with an average reduction of 44.28%. This thesis then explores the concept of interconnecting a small community of nanogrids to form a microgrid. While each nanogrid within the network has the ability to operate independently, a network control strategy is created to observe the possibility of further reducing grid power consumed by the community. The strategy considers the photovoltaic power production and thermostatically controlled loads operating within the network. A ratio of the network's photovoltaic power is distributed to the thermostatically controlled loads, based on their expected consumption over a 24 hour period (highest consumption receives largest ratio of power). This was simulated with a range of household cluster sizes, with varied consumption patterns, for a week with summer/winter solar irradiance. The tests show that, compared to an uncontrolled nanogrid network, the combined control can reduce grid power consumed by as much as 55%, while a 7% decrease is seen when comparing the combined control to the individually controlled nanogrid networks. When compared to an uncontrolled individual house scenario, the combined control interconnected nanogrids can reduce the power purchase from the grid by as much as 61%.</p>

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Control of the power electronics interface of a PV source in a smart residential DC nanogrid

Cited by 6 publications

References 4 publications

A Droop-Controlled Interlink Converter for a Dual DC Bus Nanogrid with Decentralized Control

A Droop-Controlled Interlink Converter for a Dual DC Bus Nanogrid with Decentralized Control

Energy Management Strategy of PV Grid-Connected Household Nano-Grid System

Nanogrid topology, control and interactions in a microgrid structure

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