A Kalman Latency Compensation Strategy for Model Predictive Control to Damp Inter-Area Oscillations in Delayed Power Systems

Molina-Cabrera, Alexander; Ríos, Mario Alberto Gaviria

doi:10.15866/iree.v11i3.8661

Cited by 2 publications

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“…The first is the power system's nonlinear nature (including parameterchanging, uncertainties and its large number of variables); the second is associated with time delays in the closed loop control strategy. In this regard, although the nonlinearity was successfully addressed in [32,33], the dead time misconception is yet to be faced.…”

Section: Time-delayed Power Systems Modelingmentioning

confidence: 99%

“…The first component of the ETDC is the Sliding Prediction Block. The authors have been developing tools for damping oscillations in power systems with delays in their communication [33]. As a previous contribution, a time-delay compensator called Sliding Prediction Block (SPB) has been developed.…”

Section: The Enhanced Time-delay Compensatormentioning

confidence: 99%

“…There are previous contributions to the aforementioned gap: our early works include an adapted Model Predictive Control (MPC) capable of dealing with the nonlinear largescale nature of delayed power system (power systems with delays in WAMS) to maintain stability; then, we introduced time-delay compensation suitable for tackling fixed and varying values of latencies [32][33][34]. This paper contributes in time compensation strategies for reaching a memory closed loop control in delayed power systems; furthermore, this work details the WAMS' performance to offer the background needed for the proposal (to run more realistic simulations).…”

Section: Introductionmentioning

confidence: 99%

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Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers

et al. 2021

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Time-delay is inherent to communications schemes in power systems, and in a closed loop strategy the presence of latencies increases inter-area oscillations and security problems in tie-lines. Recently, Wide Area Measurement Systems (WAMS) have been introduced to improve observability and overcome slow-rate communications from traditional Supervisory Control and Data Acquisition (SCADA). However, there is a need for tackling time-delays in control strategies based in WAMS. For this purpose, this paper proposes an Enhanced Time Delay Compensator (ETDC) approach which manages varying time delays introducing the perspective of network latency instead dead time; also, ETDC takes advantage of real signals and measurements transmission procedure in WAMS building a closed-loop memory control for power systems. The strength of the proposal was tested satisfactorily in a widely studied benchmark model in which inter-area oscillations were excited properly.

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Section: Time-delayed Power Systems Modelingmentioning

confidence: 99%

Section: The Enhanced Time-delay Compensatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers

et al. 2021

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“…In [7], the speed of a three-phase induction motor has been estimated using a Kalman filter approach with the stator current and rotor flux as state variables. In [8], a Kalman based time delay compensation strategy has been used to feed a model predictive control scheme to damp interarea oscillations in power systems with latencies in their communications. The authors in [9] have proposed a fuzzy control of wind cage induction generator system.…”

Section: Introductionmentioning

confidence: 99%

Online Dynamic Assessment of System Stability in Power Systems Using the Unscented Kalman Filter

Moreno‐Chuquen

Flórez-Cediel

2019

IREE

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Dynamic state estimation on of power systems stability based on PhasorMeasurement Units (PMUs) data is a requirement in order to assess power system security. This paper addresses the state estimation problem from a strong mathematical point of view to be applied for estimation on real time. Specifically, this paper formulates a framework based on the Unscented Kalman Filter (UFK) in order to estimate in real-time if the angle stability is compromised or approaching instability. This paper proposes a predicting window as a time interval to forecast the rotor angle using real-time information. The framework uses the generator rotor angles and the electrical angular velocity as state variables, given that the power output of the generators is measured by PMUs and that the rotor movement equations are separated from the network ones. The estimation of the angle stability can provide meaningful information needed to evaluate and enhance the power system security. In order to note the performance for the UKF to assess and forecast online system stability for power systems, the UKF is tested when there are not measurements available. In this case, the UKF performs a forecasting on the angle in a onesecond window without available data. Emulated PMUs sampling data have been used for carrying the simulations and have been validated using the 9-IEEE buses test system. The results confirm the method and the performance of the estimation. The proposed approach provides an effective tool for real-time environment for security.

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A Kalman Latency Compensation Strategy for Model Predictive Control to Damp Inter-Area Oscillations in Delayed Power Systems

Cited by 2 publications

References 0 publications

Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers

Latencies in Power Systems: A Database-Based Time-Delay Compensation for Memory Controllers

Online Dynamic Assessment of System Stability in Power Systems Using the Unscented Kalman Filter

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