The Experts below are selected from a list of 10242 Experts worldwide ranked by ideXlab platform
Juan C. V??squez - One of the best experts on this subject based on the ideXlab platform.
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Model Order Reductions for Stability Analysis of Islanded Microgrids With Droop Control
IEEE Transactions on Industrial Electronics, 2015Co-Authors: Valerio Mariani, Francesco Vasca, Juan C. V??squezAbstract:Three-phase inverters subject to Droop Control are widely used in islanded microgrids to interface distributed energy resources to a network and to properly share loads among different units. In this paper, a mathematical model for islanded microgrids with linear loads and inverters under frequency and voltage Droop Control is proposed. The model is constructed by introducing a suitable state-space transformation that allows to write the closed-loop model in an explicit state-space form. Then, the singular perturbations technique is used to obtain reduced order models that reproduce the stability properties of the original closed-loop model. The analysis shows that the currents' dynamics influence the stability of the microgrid, particularly for high values of the frequency Droop Control parameters. It is also shown that a further reduction of the model order leads to a typical oscillator model that is not able to predict the possible instability of the Droop-Controlled system. Numerical and experimental results demonstrate the validity of the proposed models.
Kaitlyn J. Bunker - One of the best experts on this subject based on the ideXlab platform.
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Multidimensional optimal Droop Control for DC microgrids in military applications
Applied Sciences, 2018Co-Authors: Kaitlyn J. Bunker, Wayne W. Weaver, Michael D. Cook, Gordon G. ParkerAbstract:Reliability is a key consideration when microgrid technology is implemented in military applications. Droop Control provides a simple option without requiring communication between microgrid components, increasing the Control system reliability. However, traditional Droop Control does not allow the microgrid to utilize much of the power available from a solar resource. This paper applies an optimal multidimensional Droop Control strategy for a solar resource connected in a microgrid at a military patrol base. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more power from the solar resource can be utilized, while maintaining the system’s bus voltage around a nominal value, and still avoiding the need for communication between the various components.
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Optimal multidimensional Droop Control for wind resources in DC microgrids
Energies, 2018Co-Authors: Kaitlyn J. Bunker, Wayne W. WeaverAbstract:The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various Control strategies can be pursued for wind resources connected in microgrids, and Droop Control is a promising option since communication between microgrid components is not required. Traditional Droop Control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel Droop Control strategy, modifying the traditional approach and building an optimal Droop surface at a higher dimension. A method for determining the optimal Droop Control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.
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Multidimensional Droop Control for wind resources in dc microgrids
IET Generation Transmission & Distribution, 2017Co-Authors: Kaitlyn J. Bunker, Wayne W. WeaverAbstract:Two important and upcoming technologies, wind resources and microgrids, are increasingly being combined. Various Control strategies can be implemented, and Droop Control provides a simple option without requiring communication between microgrid components. However, traditional Droop Control does not allow the microgrid to maximise the power available from the wind. This study proposes a novel Droop Control strategy, which implements a Droop surface in higher dimension than the traditional strategy. Simulation results show that power from the wind can be maximised, while maintaining the system's bus voltage around a nominal value using a distributed multidimensional Droop approach. Selection of the optimal Droop relationship is discussed and simulation results are presented.
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Multidimensional optimal Droop Control for wind resources in DC microgrids
2014Co-Authors: Kaitlyn J. BunkerAbstract:Two important and upcoming technologies, microgrids and electricity generation from wind resources, are increasingly being combined. Various Control strategies can be implemented, and Droop Control provides a simple option without requiring communication between microgrid components. Eliminating the single source of potential failure around the communication system is especially important in remote, islanded microgrids, which are considered in this work. However, traditional Droop Control does not allow the microgrid to utilize much of the power available from the wind. This dissertation presents a novel Droop Control strategy, which implements a Droop surface in higher dimension than the traditional strategy. The Droop Control relationship then depends on two variables: the dc microgrid bus voltage, and the wind speed at the current time. An approach for optimizing this Droop Control surface in order to meet a given objective, for example utilizing all of the power available from a wind resource, is proposed and demonstrated. Various cases are used to test the proposed optimal high dimension Droop Control method, and demonstrate its function. First, the use of linear multidimensional Droop Control without optimization is demonstrated through simulation. Next, an optimal high dimension Droop Control surface is implemented with a simple dc microgrid containing two sources and one load. Various cases for changing load and wind speed are investigated using simulation and hardware-in-the-loop techniques. Optimal multidimensional Droop Control
Tine L Vandoorn - One of the best experts on this subject based on the ideXlab platform.
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Droop Control as an alternative inertial response strategy for the synthetic inertia on wind turbines
IEEE Transactions on Power Systems, 2016Co-Authors: Jan Van De Vyver, Jeroen D M De Kooning, Bart Meersman, Lieven Vandevelde, Tine L VandoornAbstract:In several countries, the wind power penetration increased tremendously in recent years. To ensure the proper functioning of the power system, some grid operators already require the capability to provide inertial response or primary Control with wind turbines. This paper discusses the emulated inertial response with wind turbines by means of the synthetic inertia and the Droop Control strategy. The behavior of the synthetic inertia strategy is determined by the inertial and the Droop constant, whereas Droop Control only has a Droop constant. When these strategies are used, it is important to tune the Control parameters depending on the power system to which the wind turbines are connected. Simulations show that it is possible to enhance but also to deteriorate the frequency response of the system, dependent on these parameters. For different power system compositions, the optimal inertial constant is always close to zero. This way, the synthetic inertia strategy reduces to a fast Droop Control strategy. This is an important outcome, as it means that no differentiation of the frequency is needed to obtain an optimal inertial response from the wind turbines, which is beneficial in terms of robustness. Consequently, Droop Control is a viable alternative for the synthetic inertia.
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Probabilistic framework for evaluating Droop Control of photovoltaic inverters
Electric Power Systems Research, 2015Co-Authors: Vasiliki Klonari, Bart Meersman, Tine L Vandoorn, Jean-françois Toubeau, Zacharie De Greve, Jacques Lobry, François ValléeAbstract:Abstract Active Power/Voltage (P/V) Droop Control is a method that is implemented in distributed photovoltaic (PV) units for the mitigation of overvoltage problems. This Control does not require inter-unit communication and its benefit with respect to the on–off oscillations, the voltage level and the captured PV energy has already been demonstrated in previous studies. However, previous studies of P/V Droop Controllers only involved a deterministic “worst-case” approach on small networks and for restricted time periods, which often lead to oversized and costly technical solutions. In this paper, P/V Droop Control is for the first time evaluated with a probabilistic framework based on smart metering (SM) recordings in an existing Low Voltage (LV) network. Thanks to this approach, the uncertainty of PV energy injection, the randomness of the consumption loads and the fluctuations of voltage at the MV/LV transformer can be taken into consideration in the evaluation of the benefits related to the proposed Control. The first objective of this paper is therefore to evaluate Droop Control in a model that is more faithful to the real operation of a LV network. Within this evaluation, the paper aims at doing a realistic parameter tuning of the Control based on detailed probabilistic analysis. Practically, the evaluation model is based on a probabilistic framework previously developed by the authors but which up to now did not consider any voltage based Droop (VBD) Control. Thus, the second objective of this paper is to present a way for including time-based Control strategies (here explained by means of Droop Control) in the probabilistic framework. The newly developed model is used to simulate an existing LV network and the results (EN50160 voltage requirements, curtailed PV generation, etc.) are compared to the scenario in which P/V Droop Control is not applied.
Wayne W. Weaver - One of the best experts on this subject based on the ideXlab platform.
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Multidimensional optimal Droop Control for DC microgrids in military applications
Applied Sciences, 2018Co-Authors: Kaitlyn J. Bunker, Wayne W. Weaver, Michael D. Cook, Gordon G. ParkerAbstract:Reliability is a key consideration when microgrid technology is implemented in military applications. Droop Control provides a simple option without requiring communication between microgrid components, increasing the Control system reliability. However, traditional Droop Control does not allow the microgrid to utilize much of the power available from a solar resource. This paper applies an optimal multidimensional Droop Control strategy for a solar resource connected in a microgrid at a military patrol base. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more power from the solar resource can be utilized, while maintaining the system’s bus voltage around a nominal value, and still avoiding the need for communication between the various components.
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Optimal multidimensional Droop Control for wind resources in DC microgrids
Energies, 2018Co-Authors: Kaitlyn J. Bunker, Wayne W. WeaverAbstract:The inclusion of electricity generation from wind in microgrids presents an important opportunity in modern electric power systems. Various Control strategies can be pursued for wind resources connected in microgrids, and Droop Control is a promising option since communication between microgrid components is not required. Traditional Droop Control does have the drawback of not allowing much or all of the available wind power to be utilized in the microgrid. This paper presents a novel Droop Control strategy, modifying the traditional approach and building an optimal Droop surface at a higher dimension. A method for determining the optimal Droop Control surface in multiple dimensions to meet a given objective is presented. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more wind power can be utilized, while maintaining the system’s bus voltage and still avoiding the need for communication between the various components.
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Multidimensional Droop Control for wind resources in dc microgrids
IET Generation Transmission & Distribution, 2017Co-Authors: Kaitlyn J. Bunker, Wayne W. WeaverAbstract:Two important and upcoming technologies, wind resources and microgrids, are increasingly being combined. Various Control strategies can be implemented, and Droop Control provides a simple option without requiring communication between microgrid components. However, traditional Droop Control does not allow the microgrid to maximise the power available from the wind. This study proposes a novel Droop Control strategy, which implements a Droop surface in higher dimension than the traditional strategy. Simulation results show that power from the wind can be maximised, while maintaining the system's bus voltage around a nominal value using a distributed multidimensional Droop approach. Selection of the optimal Droop relationship is discussed and simulation results are presented.
Valerio Mariani - One of the best experts on this subject based on the ideXlab platform.
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Model Order Reductions for Stability Analysis of Islanded Microgrids With Droop Control
IEEE Transactions on Industrial Electronics, 2015Co-Authors: Valerio Mariani, Francesco Vasca, Juan C. V??squezAbstract:Three-phase inverters subject to Droop Control are widely used in islanded microgrids to interface distributed energy resources to a network and to properly share loads among different units. In this paper, a mathematical model for islanded microgrids with linear loads and inverters under frequency and voltage Droop Control is proposed. The model is constructed by introducing a suitable state-space transformation that allows to write the closed-loop model in an explicit state-space form. Then, the singular perturbations technique is used to obtain reduced order models that reproduce the stability properties of the original closed-loop model. The analysis shows that the currents' dynamics influence the stability of the microgrid, particularly for high values of the frequency Droop Control parameters. It is also shown that a further reduction of the model order leads to a typical oscillator model that is not able to predict the possible instability of the Droop-Controlled system. Numerical and experimental results demonstrate the validity of the proposed models.
