EPE Association: EPE 2020 - LS5d: Microgrids

EPE 2020 - LS5d: Microgrids
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2020 - LS5d: Microgrids

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   A Flexible Power Crossbar-based Architecture for Software-Defined Power Domains
By Francesco DI GREGORIO [View]
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Abstract: This paper proposes a novel approach referred to as "Software-Defined Power Domains", relying on a power crossbar component that makes it possible to setup arbitrary electrical topologies onto rather densely connected physical micro-grids. It presents the proposed crossbar architecture together with its topology switching operation and efficiency analysis.

   A Novel Fully Distributed Cost Optimal Control Method for DC Microgrid
By Qingping XIA [View]
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Abstract: This paper proposes an ADMM and observers based distributed cost optimal control method for DC microgrid. Unlike centralized control which need a central node communicate with all other nodes, the proposed fully distributed method, where DGs only change their information with their neighbors. Both global voltage recovery and total cost optimization are achieved in real time under the DGs' capacity limits. Finally, simulation results verify the anti-disturbance ability and effectiveness of the proposed method.

   An Adaptive Droop Control Method for Interlink Converter in Hybrid AC/DC Microgrids
By Rasool HEYDARI [View]
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Abstract: The conventional control scheme of hybrid microgrids (MGs) uses active power-frequency and reactive power-voltage droop control methods to realize proportional active power sharing in ac and dc MGs, respectively. In order to equate the percentage loadings of dc and ac subgrids, the power transfer through the interlink converter is controlled such that the per-unit frequency deviation of ac MG is equated to the per-unit voltage deviation of dc MG. The main drawback of the mentioned strategy is the poor dynamic response caused by the slow dynamics of the conventional droop method as well as the delay associated with frequency measurement in the interlink converter (IC) controller. To enhance the dynamic response, a control scheme based on voltage-current droop characteristics is proposed in this paper. In this method, the d and q axis V-I droop control schemes are adopted for proportional active and reactive power sharing among ac Distributed Energy Resources (DERs), and the dc V-I droop control method is used for coordination of dc DERs. Furthermore, a novel control strategy based on d-axis voltage/dc voltage droop characteristics is proposed for the IC to realize global power sharing with a fast dynamic response. Experimental results are presented to showcase the efficacy of the proposed scheme.

   On-grid/off-grid DC microgrid optimization and demand response management
By Wenshuai BAI [View]
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Abstract: Microgrid tends to be an advanced and promising technology in the future smart power supply system, which integrates renewable energy sources under power and energy management. The power management can keep the constant power balance while the energy management can achieve the optimal power flow of a microgrid, where the power prediction should be considered by using the influenced metadata to pre-schedule the power flow of a microgrid. This paper proposes a supervisory system for energy and power management in on-grid/off-grid DC microgrid, which combines sources such as: photovoltaic, storage, public grid connection, diesel generator, and supercapacitor, and supplies a dynamic load. In addition, a load shedding optimization algorithm is proposed to solve the demand response problem. Based on mixed-integer linear programming the energy management layer is used for techno-economic dispatching optimization whereas the power management layer keeps the common DC bus stable. The simulation results, based on real data, prove that: (i) the DC microgrid operates continuously while automatically switching between on-grid/off-grid modes following constraints; (ii) the 24 hours day-ahead power flow optimization achieves a power pre-schedule to decrease the operation cost of the DC microgrid.

EPE 2020 - LS5d: Microgrids
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2020 ECCE Europe - Conference > EPE 2020 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2020 - LS5d: Microgrids
	[return to parent folder]

	A Flexible Power Crossbar-based Architecture for Software-Defined Power Domains By Francesco DI GREGORIO	[View] [Download]
Abstract: This paper proposes a novel approach referred to as "Software-Defined Power Domains", relying on a power crossbar component that makes it possible to setup arbitrary electrical topologies onto rather densely connected physical micro-grids. It presents the proposed crossbar architecture together with its topology switching operation and efficiency analysis.

	A Novel Fully Distributed Cost Optimal Control Method for DC Microgrid By Qingping XIA	[View] [Download]
Abstract: This paper proposes an ADMM and observers based distributed cost optimal control method for DC microgrid. Unlike centralized control which need a central node communicate with all other nodes, the proposed fully distributed method, where DGs only change their information with their neighbors. Both global voltage recovery and total cost optimization are achieved in real time under the DGs' capacity limits. Finally, simulation results verify the anti-disturbance ability and effectiveness of the proposed method.

	An Adaptive Droop Control Method for Interlink Converter in Hybrid AC/DC Microgrids By Rasool HEYDARI	[View] [Download]
Abstract: The conventional control scheme of hybrid microgrids (MGs) uses active power-frequency and reactive power-voltage droop control methods to realize proportional active power sharing in ac and dc MGs, respectively. In order to equate the percentage loadings of dc and ac subgrids, the power transfer through the interlink converter is controlled such that the per-unit frequency deviation of ac MG is equated to the per-unit voltage deviation of dc MG. The main drawback of the mentioned strategy is the poor dynamic response caused by the slow dynamics of the conventional droop method as well as the delay associated with frequency measurement in the interlink converter (IC) controller. To enhance the dynamic response, a control scheme based on voltage-current droop characteristics is proposed in this paper. In this method, the d and q axis V-I droop control schemes are adopted for proportional active and reactive power sharing among ac Distributed Energy Resources (DERs), and the dc V-I droop control method is used for coordination of dc DERs. Furthermore, a novel control strategy based on d-axis voltage/dc voltage droop characteristics is proposed for the IC to realize global power sharing with a fast dynamic response. Experimental results are presented to showcase the efficacy of the proposed scheme.

	On-grid/off-grid DC microgrid optimization and demand response management By Wenshuai BAI	[View] [Download]
Abstract: Microgrid tends to be an advanced and promising technology in the future smart power supply system, which integrates renewable energy sources under power and energy management. The power management can keep the constant power balance while the energy management can achieve the optimal power flow of a microgrid, where the power prediction should be considered by using the influenced metadata to pre-schedule the power flow of a microgrid. This paper proposes a supervisory system for energy and power management in on-grid/off-grid DC microgrid, which combines sources such as: photovoltaic, storage, public grid connection, diesel generator, and supercapacitor, and supplies a dynamic load. In addition, a load shedding optimization algorithm is proposed to solve the demand response problem. Based on mixed-integer linear programming the energy management layer is used for techno-economic dispatching optimization whereas the power management layer keeps the common DC bus stable. The simulation results, based on real data, prove that: (i) the DC microgrid operates continuously while automatically switching between on-grid/off-grid modes following constraints; (ii) the 24 hours day-ahead power flow optimization achieves a power pre-schedule to decrease the operation cost of the DC microgrid.