Rescheduling of power systems constrained with transient stability limits in restructured power systems

Kheradmandi, Morteza; Ehsan, Mehdi; Feuillet, R.; Hadj-Saied, N.

doi:10.1016/j.epsr.2010.07.008

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…It is likely, at the maximum value point of the power conversion, that @C/@k ¼ 0, which renders g 1 ¼ 0 for the Eq. (8). This implies that it is practically impossible to maintain exact maximum power conversion for any feasible control scheme.…”

Section: Algorithm Descriptionmentioning

confidence: 96%

“…In order to apply this bio-inspired control method to a wind turbine system, we re-visit the error dynamic model (8) and re-written it as …”

Section: Memory-based Control For Pitch Angle and Electromagnetic Tormentioning

confidence: 99%

“…One problem with the basic DTC scheme is that its performance deteriorates during start-up and for low speed operations. 7,8 Later, modified DTC approaches were developed. Other control methods include PI-based control, 9 non-linear and adaptive control, 10,11 yaw control, [12][13][14] pitch control, [15][16][17][18] and inverter firing angle control.…”

Section: Introductionmentioning

confidence: 99%

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A bio-inspired approach to enhancing wind power conversion

Song

Cai

2012

Journal of Renewable and Sustainable Energy

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The primary objective of this investigation is to develop a new control method for wind turbines that can increase their wind energy capture efficiency. Since the resultant wind turbine system dynamics are profoundly nonlinear and coupled with significant uncertainties, traditional model-based control is found to be not only structurally complex but also computationally expensive. Here, we explore two sets of control algorithms to enhance wind to electrical energy conversion. The first accounts for system nonlinearities and external disturbances by integrating variable structure control with adaptive control. The second accommodates the nonlinearities arising from rotor aerodynamics and pitch (actuation) dynamics, as well as external disturbances, through a method inspired by a 1st order human memory/learning model. The second method allows direct maximum power coefficient tracking for winds under the rated speed and ensures rated power output for winds over the rated speed. Basically, it uses the system current and most recent memorized responses, together with past control experience, to generate new control actions. Both rotor dynamics and actuation (pitch) dynamics are reflected indirectly through the observed/measured system response at each instant, and are embedded within the control mechanism. Thus, there is no need for detailed information on the system model or system parameters in the control's design and implementation. The efficacy of both proposed approaches is analyzed through numerical simulations.

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Section: Algorithm Descriptionmentioning

confidence: 96%

“…In order to apply this bio-inspired control method to a wind turbine system, we re-visit the error dynamic model (8) and re-written it as …”

Section: Memory-based Control For Pitch Angle and Electromagnetic Tormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A bio-inspired approach to enhancing wind power conversion

Song

Cai

2012

Journal of Renewable and Sustainable Energy

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“…A heuristic stability performance index (PI) was proposed to evaluate the gradient of the PI and determine the preventive control accordingly [12]. In [13], rescheduling of power systems constrained with transient stability limits in restructured power systems based on TEF is proposed. An optimal generation rescheduling with trajectory sensitivity-based transient stability constraints is presented in [14].…”

Section: Introductionmentioning

confidence: 99%

“…Various generator rescheduling techniques [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] have been proposed for transient security control. In [6], the transient energy function (TEF) method is used to check the dynamic security of the system and the coherent behavior of generators is used to find a new generation configuration.…”

Section: Introductionmentioning

confidence: 99%

Preventive Control for Transient Security with Generation Rescheduling Based on Rotor Trajectory Index

Verma¹,

Niazi²

2015

Journal of Electrical Engineering and Technology

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-The increasing need to improve transient security assessment of existing or forecasted operating conditions of networks by power system operators is major concern of the power system security monitoring problem at the Energy Management Systems. This paper proposes a preventive control of transient stability with generation rescheduling based on rotor trajectory index obtained using time domain simulations. This index may help power engineers in making operational decision and to obtain a generation configuration with better transient security dispatch. The effectiveness of the proposed methodology is demonstrated on IEEE 39-bus New England system for a three phase fault at different loading conditions with single and multiple line outage cases.

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Cost-effective operation of the urban energy system with variable supply and demand via coordination of multi-energy flows

Han

Zhao

et al. 2020

Energy

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Rescheduling of power systems constrained with transient stability limits in restructured power systems

Cited by 5 publications

References 18 publications

A bio-inspired approach to enhancing wind power conversion

A bio-inspired approach to enhancing wind power conversion

Preventive Control for Transient Security with Generation Rescheduling Based on Rotor Trajectory Index

Cost-effective operation of the urban energy system with variable supply and demand via coordination of multi-energy flows

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