Virtual Actuators for Wide-Area Damping Control of Power Systems

Raoufat, M. Ehsan; Tomsovic, Kevin; Djouadi, Seddik M.

doi:10.1109/tpwrs.2015.2506345

Cited by 61 publications

(46 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of developing wide area damping controllers (WADCs), there are different techniques which have been concentrated for developing WADC strategies including investigating WADC performances as additional controller, [3][4][5][6][7][8][9] applying renewable suppliers as damping controllers in the case of inter-area oscillations, [10][11][12][13][14] use of HVDC links in long transmission lines for controlling the inter-area oscillations between two oscillating areas [15][16][17] and investigating FACTS-based WADCs installed at long transmission lines to damp inter-area oscillations. 18,19 However, in fact, there are various reliability challenges including communication links which avoid the use of WADC schemes in real interconnected power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive wide area damping controller for damping inter‐area oscillations considering high penetration of wind farms

Alinezhad

Radmehr

Ranjbar

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary An online and non‐model‐based wide area damping controller (WADC) is presented in this paper for damping inter‐area oscillations in the presence of high penetration of renewable energies. For this propose, based on wide area measurement system (WAMS) technology and evaluating the system dynamic behavior within real‐time environment, the oscillating generators against each other are identified from which corresponding global inter‐area controlling signals are provided. The proposed WADC is consisting of three different individual parts including (a) Identifying inter‐area oscillations, (b) Evaluating inter‐area signals, and (c) Estimating controlling signals with respect to reach high damping ratio of inter‐area oscillations. In the first part, based on coherency concept and evaluating global signals gathered from WAMS data, the generators coherency factors and expected inter‐area oscillations are identified. In the case of evaluating an inter‐area oscillation in the second part, the proposed WADC scheme is activated from which the initial damping ratio and candidate generators with high penetration on damping procedure of inter‐area oscillation are determined. Finally, in the third part, the proper gain factors are estimated with respect to each inter‐area signal form which the individual controlling signals for damping inter‐area oscillations are provided. In order to evaluate damping performance, the proposed WADC scheme and corresponding different parts are carried out on modified 39‐bus test system considering different operational and topological conditions with the potential of unstable inter‐area oscillations. Simulation studies indicate the effectiveness of proposed WADC scheme with high penetration for damping inter‐area oscillations.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Adaptive wide area damping controller for damping inter‐area oscillations considering high penetration of wind farms

Alinezhad

Radmehr

Ranjbar

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Functions ()  and () h  are the state transition function and the measurement function, respectively. To transform (1) into general state space model (2) and implement the state transition function and measurement function, iR, iI, eR and eI were written as functions of x and u using (4) and (5…”

Section: Dynamic State Estimation Modelmentioning

confidence: 99%

“…To initialize the EKF, covariance P0 is set to be 10 times of the largest changes of the states to reflect the uncertainty of the initial states. The output variance Rk is set to be 4.0% of measurements i.e., diag([0.04, 0.04]) 2 . Qk is set to be Because of the randomness of the process and measurement noises, the Monte-Carlo (MC) method is used to evaluate the statistical performance of the algorithms.…”

Section: )mentioning

confidence: 99%

“…Power system dynamic state are used to design the power system stabilizers and voltage regulators to maintain and improve transient stability. Increasing demand for reliable and sustainable energy pushes further the investigation of new techniques to improve the accuracy of the DSE for reliable and stable operation of a power system [1]- [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive multi-step prediction based EKF to power system dynamic state estimation

Akhlaghi

Zhou

2017

2017 IEEE Power and Energy Conference at Illinois (PECI)

View full text Add to dashboard Cite

Abstract-Power system dynamic state estimation is essential to monitoring and controlling power system stability. Kalman filtering approaches are predominant in estimation of synchronous machine dynamic states (i.e. rotor angle and rotor speed). This paper proposes an adaptive multi-step prediction (AMSP) approach to improve the extended Kalman filter's (EKF) performance in estimating the dynamic states of a synchronous machine. The proposed approach consists of three major steps. First, two indexes are defined to quantify the nonlinearity levels of the state transition function and measurement function, respectively. Second, based on the nonlinearity indexes, a multi prediction factor (Mp) is defined to determine the number of prediction steps. And finally, to mitigate the nonlinearity impact on dynamic state estimation (DSE) accuracy, the prediction step repeats a few time based on Mp before performing the correction step. The two-area fourmachine system is used to evaluate the effectiveness of the proposed AMSP approach. It is shown through the Monte-Carlo method that a good trade-off between estimation accuracy and computational time can be achieved effectively through the proposed AMSP approach. Index Terms--Dynamic state estimation (DSE), extendedKalman filter (EKF), phasor measurement unit (PMU), power system dynamics, non-linearity test.

show abstract

“…The substation placement method and transmission lines assignment based on population and energy data in [21] uses the methodology introduced in [22], [23], where they employ a clustering technique to ensure that synthetic substations meet realistic proportions of load and generation. [24] addressed the need for synthetic large-scale system dynamic models for transient stability studies such as wide-area damping control in [25], [26] and dynamic control allocation for damping of inter-area oscillations in [27]. The collaboration of researchers from five universities has resulted to publishing three fully synthetic power networks called ACTIVSg200, 500, and 2000 cases [21], [24].…”

Section: Introductionmentioning

confidence: 99%

Interdependence of Transmission Branch Parameters on the Voltage Levels

Athari¹,

Wang²

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Transformers and transmission lines are critical components of a grid network. This paper analyzes the statistical properties of the electrical parameters of transmission branches and especially examines their interdependence on the voltage levels. Some interesting findings include: (a) with appropriate conversion of MVA rating, a transformer's per unit reactance exhibits consistent statistical pattern independent of voltage levels and capacity; (b) the distributed reactance (ohms/km) of transmission lines also has some consistent patterns regardless of voltage levels; (c)other parameters such as the branch resistance, the MVA ratings, the transmission line length, etc, manifest strong interdependence on the voltage levels which can be approximated by a power function with different power constants. The results will be useful in both creation of synthetic power grid test cases and validation of existing grid models.

show abstract

Virtual Actuators for Wide-Area Damping Control of Power Systems

Cited by 61 publications

References 20 publications

Adaptive wide area damping controller for damping inter‐area oscillations considering high penetration of wind farms

Adaptive wide area damping controller for damping inter‐area oscillations considering high penetration of wind farms

Adaptive multi-step prediction based EKF to power system dynamic state estimation

Interdependence of Transmission Branch Parameters on the Voltage Levels

Contact Info

Product

Resources

About