Dynamic Preventive Control for Power System Using Transient Stability Assessment Based on the Pattern Recognition

Kita, Hidetoshi; Mizuno, Takahiro; Nishiya, Ken-ichi; Hasegawa, Jun

doi:10.1541/ieejpes1990.111.6_611

Cited by 2 publications

(3 citation statements)

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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%

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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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Section: Literature Reviewmentioning

confidence: 99%

“…The dynamic security-constrained optimal power flow (DSOPF) formulation combines the OPF equations with the transient stability equations as given in (1)- (6). In addition, the dynamics trajectory must satisfy security constraints at each 978-1-4799-6415-4/14/$31.00 ©2014 IEEE time step as given by (7).…”

Section: Flowmentioning

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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“…Constraints: Eqs. ( 5 ) to (7) 4. Numerical Calculation Examples where SI', is the midterm stability security index for contingency i; S is the set of contingencies which are stable transiently.…”

Section: Pimentioning

confidence: 99%

Dynamic preventive control strategies for power systems considering transient and midterm stabilities

Kita

Hasegawa

Sato

et al. 1995

Electrical Engineering Japan

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This paper proposes a new dynamic preventive control strategy to maintain power system security, in terms of both transient and midterm stabilities. While the authors have already presented preventive control strategies for transient stability, a new problem has arisen in midterm instability in which some generators lose synchronism after 10 seconds or more from a fault clearance. It is clear that the cause of the instability is mainly post‐contingency dynamic steady‐state instability. This paper first shows a preventive control strategy for improving midterm stability using a dominant eigenvalue of post‐contingency equilibrium point. This paper also presents a unified dynamic preventive control algorithm that can maintain both stabilities together. In this algorithm, the time domain for each stability problem is considered appropriately and the difference between the classical model and the detailed model is analyzed in detail. The effectiveness of the proposed method is examined with numerical examples for a model system.

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Dynamic Preventive Control for Power System Using Transient Stability Assessment Based on the Pattern Recognition

Cited by 2 publications

References 1 publication

Dynamic security constrained optimal power flow using finite difference sensitivities

Dynamic security constrained optimal power flow using finite difference sensitivities

Dynamic preventive control strategies for power systems considering transient and midterm stabilities

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