On the use of averaging for the analysis of power electronic systems

Krein, P.T.; Bentsman, Joseph; Bass, R.M.; Lesieutre, Bernard C.

doi:10.1109/63.53155

Cited by 522 publications

(171 citation statements)

References 10 publications

Supporting

Mentioning

167

Contrasting

Unclassified

Order By: Relevance

“…The switching converter can be treated as an average mode model with a duty ratio of λ i (t) by making the following two assumptions: (i) the switching frequency of the dc-dc converter is much higher than the L/R time constant of the converter, and (ii) the converter operates in continuous conduction mode [23], [24]. A continuous average mode system of equations Fig.…”

Section: DC Microgrid Modelmentioning

confidence: 99%

“…Similarly, for the DMA approach, substituting (2) and (13) into (1) returns 24) which is the limitation on each individual converter that will ensure continual storage is not required. Equation (23) and (24) again highlight the centralized versus decentralized natures of the OXD and DMA approaches respectively, with the centralized OXD approach restraint based on the summation of information from all N sources whereas the DMA requires only local converter knowledge.…”

Section: A Steady Statementioning

confidence: 99%

See 1 more Smart Citation

Decentralized Mode-Adaptive Guidance and Control for DC Microgrid

Cook

Parker

Robinett

et al. 2017

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

This paper presents a decentralized, mode-adaptive (DMA) guidance law for a Hamiltonian-based controller of an N-source, dc microgrid. Droop control is commonly used for decentralized control of microgrids. Unfortunately, droop control lacks the ability to autonomously adapt to the addition or removal of a source without the augmentation of an outer loop controller. Centralized control methods provide solutions to these limitations, as well as providing the ability to globally optimize the system. To their detriment, centralized control methods are not scalable, and require system-wide information to be funneled through a central controller yielding a single point of failure. The DMA power apportionment scheme presented here aims to reduce the gap between droop control and centralized control by providing a method that can operate autonomously in the event of source and bus load fluctuations as well as reduce communication requirements of centralized control, and thus increase resiliency and scalability. After development of the DMA, its performance is compared to the centrally-controlled optimal exergy destruction (OXD) power apportionment strategy, as well as a Hamiltonianbased droop control strategy. Lastly, it is shown that for a sufficiently large number of converters supplying a microgrid, the presented decentralized, mode-adaptive strategy provides an efficient and practical alternative to both droop control and centralized control schemes.Index Terms-Dc power systems, decentralized control, distributed control, microgrids, power system control 0885-8977 (c)

show abstract

Section: DC Microgrid Modelmentioning

confidence: 99%

Section: A Steady Statementioning

confidence: 99%

Decentralized Mode-Adaptive Guidance and Control for DC Microgrid

Cook

Parker

Robinett

et al. 2017

IEEE Trans. Power Delivery

View full text Add to dashboard Cite

show abstract

“…A number of papers have examined the state-space averaging model for various power converter topologies in different operating modes [24][25][26][27][28][29][30][31][32][33]. The proper analytical averaging model for discontinuous conduction mode (DCM) operation in the dc-dc converter has been studied in [24], which contains implicitly elements to generate a base model applicable to both fixed and variable frequency operations.…”

Section: Introductionmentioning

confidence: 99%

“…While most papers focus on dc-dc converter modeling, a small number of papers have been presented on average modeling of dc-ac converters to approximate their behavior in grid-connected power electronics such as static synchronous compensators (STATCOM), active power filters [31] and PV applications [32]. It should be noted that references [24][25][26][27][28][29][30][31][32][33] have all addressed single-stage power converters and inverters, but average modeling of multiple-stage converters such as microinverters is still open to research along with the adequate simulation strategy that is necessary to improve simulation speed and accuracy of multiple cascaded converters, such as multiple PV microinverters in a microgrid.…”

Section: Introductionmentioning

confidence: 99%

A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters

et al. 2017

View full text Add to dashboard Cite

This paper presents a time-efficient modeling and simulation strategy for aggregated microinverters in large-scale photovoltaic systems. As photovoltaic microinverter systems are typically comprised of multiple power electronic converters, a suitable modeling and simulation strategy that can be used for rapid prototyping is required. Dynamic models incorporating switching action may induce significant computational burdens and long simulation durations. This paper introduces a single-matrix-form approach using the average model of a basic microinverter with two power stages consisting of a dc-dc and dc-ac converter. The proposed methodology using a common or intermediate source between two average models of cascaded converters to find the overall average model is introduced and is applicable to many other converter topologies and combinations. It provides better flexibility and simplicity when investigating various power topologies in system-level studies of microinverter and other power electronic systems. A 200 W prototype microinverter is tested to verify the proposed average and dynamic models. Furthermore, MATLAB/Simulink (2010a, Mathworks, Natick, MA, USA) is used to show the improved simulation speed and maintained accuracy of the multiple microinverter configurations when the derived average model is compared to a dynamic switching simulation model.

show abstract

“…Generally, average model is used to design controller of such systems. In order to extract this model, first current of inductors and voltage of capacitor are considered as state variables and then by using (5)-(8) for more than one switching period (T s ), the average model is obtained as below [40][41][42]:…”

Section: Average Model Of the Three-phase Boost Convertermentioning

confidence: 99%

Large Signal Stabilization of Hybrid AC/DC Micro-Grids Using Nonlinear Robust Controller

et al. 2017

View full text Add to dashboard Cite

This paper presents a robust nonlinear integrated controller to improve stability of hybrid AC/DC micro-grids under islanding mode. The proposed controller includes two independent controllers where each one is responsible to control one part of the system. First controller will improve the stability of input DC/DC converter. Using this controller, the voltage of DC bus is fully stabilized such that when a large disturbance occurs, its voltage will become constant without any significant dynamic. The necessity of DC bus regulation which has not been considered in previous studies, is imminent as it not only improves voltage stability of the micro-grid but also protects consumers which are directly connected to the DC bus, against voltage variations. Frequency stability of the micro-grid is provided by the second proposed controller which is applied to output DC/AC converter of the micro-grid. Adaptive method is used to make the controllers proposed in this paper, robust. Duty cycle of converters switches are adjusted such that voltage and frequency of the micro-grid are set on the desired value in minimum possible time under transient disturbances and uncertainty of the loads as well as micro-sources characteristics.

show abstract

On the use of averaging for the analysis of power electronic systems

Cited by 522 publications

References 10 publications

Decentralized Mode-Adaptive Guidance and Control for DC Microgrid

Decentralized Mode-Adaptive Guidance and Control for DC Microgrid

A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters

Large Signal Stabilization of Hybrid AC/DC Micro-Grids Using Nonlinear Robust Controller

Contact Info

Product

Resources

About