A distributed control strategy based on droop control and low-bandwidth communication in DC microgrids with increased accuracy of load sharing

Ghalebani, Pedram; Niasati, Mohsen

doi:10.1016/j.scs.2018.04.011

Cited by 20 publications

(22 citation statements)

References 25 publications

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“…The traditional master-slave control method consists of one master controller and several slave controllers, which forms the energy supply system (ESS), in order to take into account the power tracking the renewable energy and the system stability [19]. With the increase in the permeability and scale of MG, however, a single master controller can no longer maintain the regulation of voltage and frequency.…”

Section: Multi Master-slave Control Structure Of Mgmentioning

confidence: 99%

Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration

Liang¹,

Yue²,

Huang³

et al. 2018

Energies

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Abstract:The stable operation of a microgrid is crucial to the integration of renewable energy sources. However, with the expansion of scale in electronic devices applied in the microgrid, the interaction between voltage source converters poses a great threat to system stability. In this paper, the model of a three-source microgrid with a multi master-slave control method in islanded mode is built first of all. Two sources out of three use droop control as the main control source, and another is a subordinate one with constant power control which is also known as real and reactive power (PQ) control. Then, the small signal decoupling control model and its stability discriminant equation are established combined with "virtual impedance". To delve deeper into the interaction between converters, mutual influence of paralleled converters of two main control micro sources and their effect on system stability is explored from the perspective of control parameters. Finally, simulation and analysis are launched and the study serves as a reference for parameter setting of converters in a microgrid.

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Section: Multi Master-slave Control Structure Of Mgmentioning

confidence: 99%

Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration

Liang¹,

Yue²,

Huang³

et al. 2018

Energies

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“…By using the Laplace transform of (3), and by considering ṽ ik as a perturbation, the control-to-current transfer function G id is expressed by (5).…”

Section: Linear Pi Controller Synthesismentioning

confidence: 99%

“…The proliferation on the market of small-scale renewable energy sources that generate electricity in DC form has more and more facilitated the development of off-grid solution for non-electrified rural regions in the world. In this sense, numerous DC home appliances are available on the market [1], greatly promoting residences with DC distribution system [2][3][4][5]. Coupled to this, the growing trend toward the use of all-electric vehicles will make the battery storage system more affordable with a better storage capacity.…”

Section: Introductionmentioning

confidence: 99%

“…To overcome the error in current load sharing, some types of controls, such as active load sharing [19][20][21][22] and droop control [4,5,8,23] have been proposed in the literature. If the active load sharing method presents the advantages of being simple to implement with a good performance, its major drawbacks consist on the need of a large bandwidth communication link and its low flexibility and modularity.…”

Section: Introductionmentioning

confidence: 99%

“…The implementation of droop control consists in controlling each converter in parallel individually first, and then adding an external loop which ensure the load sharing among the paralleled converters. Generally, the internal control of the converters in the droop control method found in the literature use PI controllers [4,5,8,[23][24][25], though the converters are nonlinear system. Moreover, for a renewable-based DC microgrid, the intermittency of the sources will lead to the variability of the energy production.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of basic droop control with linear and nonlinear internal control of boost converters feeding resistive load

2020

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Droop control method is largely adopted to achieve load sharing among paralleled converters in standalone DC microgrid. However, this control is often associated with a lower layer of control performed using PI controllers. These PI controllers are used to control the inductor current and output voltage of the converters, although these latter being nonlinear systems and despite the variability of production and consumption on renewable sources-based DC microgrid. Hence, in this paper, the authors address the comparison of the application of basic droop control when the lower layer of control is performed using PI controllers or using nonlinear controllers. The comparison is applied to a system including two distributed generators interfaced to the DC bus by non-isolated boost converters. The modeling of the converter and the details of the synthesis of the different controllers are detailed. Simulation results are then presented using PSIM software.

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An accurate current sharing method for an Islandeddroop‐controlled dcmicrogrid without communication between remote buses

Maulik

Das

2020

Int Trans Electr Energ Syst

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Summary The traditional droop control method in a DC microgrid (DCMG) fails to achieve accurate current sharing among parallel‐connected dispatchable units when the connecting feeders have unequal resistances, or when the units supply local loads apart from loads at the common dc bus. In this paper, a novel modification of the droop control strategy (additional feedback term in the outer control loop) is suggested to overcome the above limitations. The proposed method is robust, noise‐resilient, amenable to the “plug and play model”, and employs local measurements, thereby, dispensing with the need for communication between remote nodes. A small‐signal model of the system with the proposed control strategy is derived for carrying out eigenvalue and participation factor analysis. A sensitivity analysis is also carried out to inspect the impact of variation of system parameters on small‐signal stability. The effect of time delay and noise on system small‐signal stability is also studied. A robust stability analysis is also carried out. The proposed control strategy is easily implementable on digital hardware. Time domain simulations using PSCAD (Power System Computer Aided Design)/EMTDC(Electromagnetic Transients including DC) is carried out to validate and compare the performance of the proposed technique vis‐a‐vis other existing methods. Performance of the proposed method is good even with time delay and noise.

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A distributed control strategy based on droop control and low-bandwidth communication in DC microgrids with increased accuracy of load sharing

Cited by 20 publications

References 25 publications

Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration

Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration

Comparison of basic droop control with linear and nonlinear internal control of boost converters feeding resistive load

An accurate current sharing method for an Islandeddroop‐controlled dcmicrogrid without communication between remote buses

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