The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Kjetil Uhlen - One of the best experts on this subject based on the ideXlab platform.
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model predictive Load Frequency Control
IEEE Transactions on Power Systems, 2016Co-Authors: Anne Mai Ersdal, Lars Imsland, Kjetil UhlenAbstract:A model predictive Controller (MPC) for Load Frequency Control (LFC) of an interconnected power system is investigated. The MPC is based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity, and generation rate of change. The participation factors for each generator are optimization variables, and suggestions are made as to how one can ensure tie-line power transfer margins through slack-variables, and pricing information through the objective function. The solution of MPC for LFC is completed by including a Kalman filter for state estimation. The presented MPC is compared against a conventional LFC/AGC scheme with proportional integral (PI) Controllers. Simulations show that the MPC gives better Frequency response while using cheaper resources. This paper illustrates that MPC could be a realistic solution to some of the LFC problems power systems are facing today.
Claudio De Persis - One of the best experts on this subject based on the ideXlab platform.
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Robust Load Frequency Control of nonlinear power networks
International Journal of Control, 2018Co-Authors: Sebastian Trip, Michele Cucuzzella, Claudio De Persis, Antonella Ferrara, Jacquelien M.a. ScherpenAbstract:This paper proposes a decentralised second-order sliding mode (SOSM) Control strategy for Load Frequency Control (LFC) in power networks, regulating the Frequency and maintaining the net inter-area...
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Distributed Optimal Load Frequency Control with Non-Passive Dynamics
IEEE Transactions on Control of Network Systems, 2018Co-Authors: Sebastian Trip, Claudio De PersisAbstract:Motivated by an increase of renewable energy sources, we propose a distributed optimal Load Frequency Control scheme achieving Frequency regulation and economic dispatch. Based on an energy function of the power network, we derive an incremental passivity property for a well-known nonlinear structure preserving network model, differentiating between generator and Load buses. Exploiting this property, we design distributed Controllers that adjust the power generation. Notably, we explicitly include the turbine-governor dynamics, where first-order and the widely used second-order dynamics are analyzed in a unifying way. Due to the non-passive nature of the second-order turbine-governor dynamics, incorporating them is challenging, and we develop a suitable dissipation inequality for the interconnected generator and turbine-governor. This allows us to include the generator side more realistically in the stability analysis of optimal Load Frequency Control than was previously possible.
Sebastian Trip - One of the best experts on this subject based on the ideXlab platform.
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Robust Load Frequency Control of nonlinear power networks
International Journal of Control, 2018Co-Authors: Sebastian Trip, Michele Cucuzzella, Claudio De Persis, Antonella Ferrara, Jacquelien M.a. ScherpenAbstract:This paper proposes a decentralised second-order sliding mode (SOSM) Control strategy for Load Frequency Control (LFC) in power networks, regulating the Frequency and maintaining the net inter-area...
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Distributed Optimal Load Frequency Control with Non-Passive Dynamics
IEEE Transactions on Control of Network Systems, 2018Co-Authors: Sebastian Trip, Claudio De PersisAbstract:Motivated by an increase of renewable energy sources, we propose a distributed optimal Load Frequency Control scheme achieving Frequency regulation and economic dispatch. Based on an energy function of the power network, we derive an incremental passivity property for a well-known nonlinear structure preserving network model, differentiating between generator and Load buses. Exploiting this property, we design distributed Controllers that adjust the power generation. Notably, we explicitly include the turbine-governor dynamics, where first-order and the widely used second-order dynamics are analyzed in a unifying way. Due to the non-passive nature of the second-order turbine-governor dynamics, incorporating them is challenging, and we develop a suitable dissipation inequality for the interconnected generator and turbine-governor. This allows us to include the generator side more realistically in the stability analysis of optimal Load Frequency Control than was previously possible.
Anne Mai Ersdal - One of the best experts on this subject based on the ideXlab platform.
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model predictive Load Frequency Control
IEEE Transactions on Power Systems, 2016Co-Authors: Anne Mai Ersdal, Lars Imsland, Kjetil UhlenAbstract:A model predictive Controller (MPC) for Load Frequency Control (LFC) of an interconnected power system is investigated. The MPC is based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity, and generation rate of change. The participation factors for each generator are optimization variables, and suggestions are made as to how one can ensure tie-line power transfer margins through slack-variables, and pricing information through the objective function. The solution of MPC for LFC is completed by including a Kalman filter for state estimation. The presented MPC is compared against a conventional LFC/AGC scheme with proportional integral (PI) Controllers. Simulations show that the MPC gives better Frequency response while using cheaper resources. This paper illustrates that MPC could be a realistic solution to some of the LFC problems power systems are facing today.
Lars Imsland - One of the best experts on this subject based on the ideXlab platform.
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model predictive Load Frequency Control
IEEE Transactions on Power Systems, 2016Co-Authors: Anne Mai Ersdal, Lars Imsland, Kjetil UhlenAbstract:A model predictive Controller (MPC) for Load Frequency Control (LFC) of an interconnected power system is investigated. The MPC is based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity, and generation rate of change. The participation factors for each generator are optimization variables, and suggestions are made as to how one can ensure tie-line power transfer margins through slack-variables, and pricing information through the objective function. The solution of MPC for LFC is completed by including a Kalman filter for state estimation. The presented MPC is compared against a conventional LFC/AGC scheme with proportional integral (PI) Controllers. Simulations show that the MPC gives better Frequency response while using cheaper resources. This paper illustrates that MPC could be a realistic solution to some of the LFC problems power systems are facing today.