On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

Yamashiro, Susumu

doi:10.1109/tpwrs.1986.4334984

Cited by 22 publications

(2 citation statements)

References 13 publications

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“…**ENEL S.p.A-C.R.A., Italy 20093 Cologno Monzese (MI), Italy Pattern recognition methods have been used to define preventive control actions to avoid transient stability problems [7,8]. Recently, trained Artificial Neural Networks (ANN) have been used to define a generation rescheduling driven by economic functions and sensitivities of energy margins [9,10].…”

Section: Introductionmentioning

confidence: 99%

Real-time preventive actions for the enhancement of voltage-degraded trajectories

Tuglie

Scala²,

Scarpellini³

1999

IEEE Trans. Power Syst.

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This paper deals with the development of a nonlinear programming methodology for evaluating preventive actions to improve the dynamic security of power systems when poor voltage transients are detected. For the proposed power system modeling, voltage-degraded trajectories arise from both angle and voltage instability on the transient time scale. The rescheduling of the generation improves system security by ensuring an acceptable voltage transient behavior and constraining the system to be stable.The algorithm is implemented and tested on an actual power system.

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Section: Introductionmentioning

confidence: 99%

Real-time preventive actions for the enhancement of voltage-degraded trajectories

Tuglie

Scala²,

Scarpellini³

1999

IEEE Trans. Power Syst.

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“…Gan et al [4] used a similar discretize-thenoptimize approach and used the deviation of rotor angles as the transient stability constraint. A dynamic security preventive control also has been proposed using pattern recognition techniques [5], [6] and artificial neural networks [7], [8]. An evaluation of the maximum allowable transfer enforcing transient stability constraints was presented in [9]; specifically, a single machine equivalent (SIME) approach was used to identify the critical contingencies and shift the generation from the critical machines to the non criticial ones.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic security constrained optimal power flow using finite difference sensitivities

Abhyankar

Rao

Anitescu

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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We present a novel technique for determining the solution of optimal power flow, including dynamic security constraints, using forward sensitivities computed by using finite differences. Finite differencing provides an easy way of computing the sensitivities of the dynamic security constraints in optimal power flow. A dynamic security measure based on the frequency excursion of the generators is presented. Our formulation also yields the marginal cost associated with the generator's frequency excursion.

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A new method for screening the contingencies before dynamic security assessment of a multimachine power system

Salam

Ahmed

2006

Int Trans Elec Energy Syst

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SUMMARYThis paper proposes a novel method for identifying the faults that would impact the transient stability of a multimachine power system. In this method each synchronous machine's swing equation is formulated in the form of a closed loop transfer function in Laplace domain (s-plane). The duration of a fault under consideration, and the changes of maximum electrical power output of the machine during and after the fault are included in the same transfer function. Then the narrowest possible range containing the real part of the 'dominant' root of each machine's characteristic equation is identified on the real axis of s-plane. This is because it is the real part that decides whether the transient response would sustain or subside. If the average of the lower limits of the real parts of dominant roots for all the machines is in the left half but very close to the imaginary axis (poorly damped) or in the right half of the s-plane (absence of damping), the system as a whole is unstable under the considered fault. The proposed method is extremely fast. An extensive digital simulation test and comparison of the proposed method with a conventional step-by-step (SBS) numerical integration method has been done on a 25-machine practical system belonging to Bangladesh Power Development Board (BPDB), and good agreements observed for an array of fault scenarios. The faults for which the aforesaid average lower limit is in the left half plane but its distance from imaginary axis is marginally above or below an established minimum value, can be further investigated by a detailed time domain simulation (TDS) transient stability analysis technique. Thus the proposed method is useful for real-time screening of the contingencies (e.g., faults) before being subjected to a full-scale dynamic security analysis in a power system of any size with any number of machines.

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On-Line Secure-Economy Preventive Control of Power Systems by Pattern Recognition

Abstract: A fast transient stability assessment method and a preventive control strategy, considering both security and economy of power systems, are

Cited by 22 publications

References 13 publications

Real-time preventive actions for the enhancement of voltage-degraded trajectories

Real-time preventive actions for the enhancement of voltage-degraded trajectories

Dynamic security constrained optimal power flow using finite difference sensitivities

A new method for screening the contingencies before dynamic security assessment of a multimachine power system

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