Distributed Hierarchical Control for Optimal Power Dispatch in Multiple DC Microgrids

Babazadeh-Dizaji, Ramin; Hamzeh, Mohsen

doi:10.1109/jsyst.2019.2937836

Cited by 50 publications

(17 citation statements)

References 21 publications

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“…To aid the development of the distributed optimal control law in Section IV, an equivalent necessary and sufficient condition for the optimal solution to the optimization problem (4) is derived in this section. Before proceeding, the project operator P X (•) : R m → R m [40] is introduced to transform the original inequality conditions (7) and (8) to equivalent equality conditions. For a vector z ∈ R m , its projection on a nonempty closed convex set X ⊆ R m is defined as…”

Section: B Equivalent Optimality Conditionmentioning

confidence: 99%

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Fan

Peng

et al. 2021

IEEE Systems Journal

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Section: B Equivalent Optimality Conditionmentioning

confidence: 99%

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Fan

Peng

et al. 2021

IEEE Systems Journal

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“…The optimization problem composed of the constraints (4)-( 9) and cost function (10) is synthesized as a Quadratic Programming problem with linear constraints. The optimization output is composed of the predictive vector X p,i and the future control sequence X ∆,i presented in (11) and (12), respectively.…”

Section: B Distributed Predictive Control Formulationmentioning

confidence: 99%

Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids

Navas-Fonseca

Burgos-Mellado

Espina

et al. 2021

2021 IEEE Fourth International Conference on DC Microgrids (ICDCM)

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DC microgrids ease the integration of renewables and can be easily put together with plug-and-play operation. However, most control techniques in DC microgrids focus on voltage regulation without considering its economical operation. Furthermore, the economic dispatch of different generation is usually implemented at a higher control level for long-term operation, and this is subject to prediction uncertainties. Therefore, this paper proposes a novel distributed model predictive control strategy for economic dispatch of the system generation and voltage restoration at the same time-scale in DC microgrids. Each distributed generator achieves both objectives using local measurements and predicted information from neighboring units. Experimental results in a 6 kW testbed validate the distributed structure of the predictive controller for communication problems and in the presence of plug-and-play scenarios without modifying and/or adjusting the control system parameters.

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“…With renewable energy sources (RESs) and storage systems such as photovoltaic (PV), wind generators, fuel cells, and batteries, DC microgrids (DCMGs) are gaining importance in day-to-day life. DCMGs have advantages over AC microgrids like higher efficiency due to fewer conversion stages, no transfer of reactive power, and no synchronization issue [1][2][3][4]. e excessive addition of unpredictable RESs and uncertainty in load variations create challenges in managing the stability of DCMG [5].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based Coordinated Power Management Strategy for Voltage Regulation and State-of-Charge Balancing in Multiple Subgrid-Based DC Microgrid

Panda

Bhaskar

Maity

2022

International Transactions on Electrical Energy Systems

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Multiple DC subgrids in close proximity can be connected to form a DC microgrid. The interconnected DC subgrids enhance reliability and efficient utilization of resources. In this paper, a novel coordinated power management strategy is proposed for interconnected subgrids of a DC microgrid. Each DC subgrid has PV and battery units. The proposed strategy is implemented on interlinking bidirectional converters (IBCs). The strategy considers the state-of-charge (SoC) and charging/discharging current of the batteries for SoC balancing-based power sharing through IBCs. A fuzzy logic controller is implemented to decide the amount of power flow through the IBCs from SoC and the charging/discharging current of battery units. Moreover, with the coordinated strategy, a high SoC battery takes more loads compared to a lower SoC battery. The proposed strategy supports fast charging and fast discharging of batteries depending on the SoC level. In addition, the coordinated strategy can seamlessly transfer the control of IBC from the power regulating mode to the voltage regulating mode without any additional control scheme during an outage of the battery unit. The feasibility of the proposed strategy is validated through simulation in MATLAB/Simulink and OPAL-RT real-time digital simulator.

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Distributed Hierarchical Control for Optimal Power Dispatch in Multiple DC Microgrids

Cited by 50 publications

References 21 publications

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Operation Loss Minimization Targeted Distributed Optimal Control of DC Microgrids

Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids

A Fuzzy-Based Coordinated Power Management Strategy for Voltage Regulation and State-of-Charge Balancing in Multiple Subgrid-Based DC Microgrid

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