2,331 research outputs found
Parameter Optimisation of a Virtual Synchronous Machine in a Microgrid
Parameters of a virtual synchronous machine in a small microgrid are
optimised. The dynamical behaviour of the system is simulated after a
perturbation, where the system needs to return to its steady state. The cost
functional evaluates the system behaviour for different parameters. This
functional is minimised by Parallel Tempering. Two perturbation scenarios are
investigated and the resulting optimal parameters agree with analytical
predictions. Dependent on the focus of the optimisation different optima are
obtained for each perturbation scenario. During the transient the system leaves
the allowed voltage and frequency bands only for a short time if the
perturbation is within a certain range.Comment: 17 pages, 5 figure
A survey on modeling of microgrids - from fundamental physics to phasors and voltage sources
Microgrids have been identified as key components of modern electrical
systems to facilitate the integration of renewable distributed generation
units. Their analysis and controller design requires the development of
advanced (typically model-based) techniques naturally posing an interesting
challenge to the control community. Although there are widely accepted reduced
order models to describe the dynamic behavior of microgrids, they are typically
presented without details about the reduction procedure---hampering the
understanding of the physical phenomena behind them. Preceded by an
introduction to basic notions and definitions in power systems, the present
survey reviews key characteristics and main components of a microgrid. We
introduce the reader to the basic functionality of DC/AC inverters, as well as
to standard operating modes and control schemes of inverter-interfaced power
sources in microgrid applications. Based on this exposition and starting from
fundamental physics, we present detailed dynamical models of the main microgrid
components. Furthermore, we clearly state the underlying assumptions which lead
to the standard reduced model with inverters represented by controllable
voltage sources, as well as static network and load representations, hence,
providing a complete modular model derivation of a three-phase inverter-based
microgrid
Small-signal modeling of grid-supporting inverters in droop controlled microgrids
An approach to modeling externally controlled inverters in droop controlled microgrids is presented. A generic three-phase grid-tied inverter and control system model is derived in synchronous reference frame. The structure of this inverter is intended to be similar in composition to other three-phase inverters whose models and dynamics are well understood. This model is used as a starting point in the development of a more comprehensive model, which is capable of representing the coupling between complex power, bus voltage, and frequency that occurs in a microgrid. This new model is a combination of the generic inverter and an autonomous, grid-forming inverter with a local load. The accuracy of the new model is verified through comparisons of small-signal dynamic predictions, simulations, and experimental results from a microgrid testbed.
The proposed procedure of modifying an existing small-signal model for use in a microgrid system retains the information of the original model while successfully enabling the prediction of dynamic interactions with other generating units in the microgrid. The process is scalable for any number of inverters at the same point of connection, allowing accurate predictions of full system dynamics during distributed control actions, such as black start or grid-resynchronization. Traditional linear control techniques may be used to improve the performance and stability of the microgrid system. This is a demonstrated in an analysis of the system\u27s eigenvalues. Drawing from the insights provided by this analysis, hardware and control parameters are selected to improve the response of the generic inverter --Abstract, page iii
Secondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging
In this work we present new distributed controllers for secondary frequency
and voltage control in islanded microgrids. Inspired by techniques from
cooperative control, the proposed controllers use localized information and
nearest-neighbor communication to collectively perform secondary control
actions. The frequency controller rapidly regulates the microgrid frequency to
its nominal value while maintaining active power sharing among the distributed
generators. Tuning of the voltage controller provides a simple and intuitive
trade-off between the conflicting goals of voltage regulation and reactive
power sharing. Our designs require no knowledge of the microgrid topology,
impedances or loads. The distributed architecture allows for flexibility and
redundancy, and eliminates the need for a central microgrid controller. We
provide a voltage stability analysis and present extensive experimental results
validating our designs, verifying robust performance under communication
failure and during plug-and-play operation.Comment: Accepted for publication in IEEE Transactions on Industrial
Electronic
Design and control of parallel three phase voltage source Inverters in low voltage AC microgrid
Design and hierarchical control of three phase parallel Voltage Source Inverters are developed in this paper. The control scheme is based on synchronous reference frame and consists of primary and secondary control levels. The primary control consists of the droop control and the virtual output impedance loops. This control level is designed to share the active and reactive power correctly between the connected VSIs in order to avoid the undesired circulating current and overload of the connected VSIs. The secondary control is designed to clear the magnitude and the frequency deviations caused by the primary control. The control structure is validated through dynamics simulations.The obtained results demonstrate the effectiveness of the control structure
Ultimate boundedness of droop controlled Microgrids with secondary loops
In this paper we study theoretical properties of inverter-based microgrids
controlled via primary and secondary loops. Stability of these microgrids has
been the subject of a number of recent studies. Conventional approaches based
on standard hierarchical control rely on time-scale separation between primary
and secondary control loops to show local stability of equilibria. In this
paper we show that (i) frequency regulation can be ensured without assuming
time-scale separation and, (ii) ultimate boundedness of the trajectories
starting inside a region of the state space can be guaranteed under a condition
on the inverters power injection errors. The trajectory ultimate bound can be
computed by simple iterations of a nonlinear mapping and provides a certificate
of the overall performance of the controlled microgrid.Comment: 8 pages, 1 figur
Uncovering Droop Control Laws Embedded Within the Nonlinear Dynamics of Van der Pol Oscillators
This paper examines the dynamics of power-electronic inverters in islanded
microgrids that are controlled to emulate the dynamics of Van der Pol
oscillators. The general strategy of controlling inverters to emulate the
behavior of nonlinear oscillators presents a compelling time-domain alternative
to ubiquitous droop control methods which presume the existence of a
quasi-stationary sinusoidal steady state and operate on phasor quantities. We
present two main results in this work. First, by leveraging the method of
periodic averaging, we demonstrate that droop laws are intrinsically embedded
within a slower time scale in the nonlinear dynamics of Van der Pol
oscillators. Second, we establish the global convergence of amplitude and phase
dynamics in a resistive network interconnecting inverters controlled as Van der
Pol oscillators. Furthermore, under a set of non-restrictive decoupling
approximations, we derive sufficient conditions for local exponential stability
of desirable equilibria of the linearized amplitude and phase dynamics
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