An on-line dynamic security analysis system implementation

Demaree, Kendall; Athay, T.; Cheung, Kwok W.; Mansour, Y.; Vaahedi, E.; Chang, A.Y.; Corns, B.R.; Garrett, B.W.

doi:10.1109/59.331422

Cited by 35 publications

(5 citation statements)

References 10 publications

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“…Thus for this stability-constrained OPF, roughly 220 constraints need to be appended to standard OPF (l) to (7). For steady-state security constrained OPF, 10 constraints would need to be appended to standard OPF (l) to (7). This analysis is however overly simplistic because of the following reasons.…”

Section: B Computational Complexitymentioning

confidence: 99%

“…As an example assume: -There are 10 contingency constraints -The integration step size is 0.1 second -The integration period is 2 seconds -There are 2 network switches (the point in time where the fault is applied and cleared) Note that each integration step imposes one set of constraints, those are, equations (12)- (16), so each contingency imposes a set of 22 constraints (2/0.1 2 constraints). Thus for this stability-constrained OPF, roughly 220 constraints need to be appended to standard OPF (l) to (7). For steady-state security constrained OPF, 10 constraints would need to be appended to standard OPF (l) to (7).…”

Section: B Computational Complexitymentioning

confidence: 99%

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Stability-constrained optimal power flow

Gan

Thomas

Zimmerman

2000

IEEE Trans. Power Syst.

419

242

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Abstract-Stability is an important constraint in power system operation. Often trial and error heuristics are used that can be costly and imprecise. A new methodology that eliminates the need for repeated simulation to determine a transiently secure operating point is presented. The theoretical development is straightfforward: dynamic equations are converted to numerically equivalent algebraic equations and then integrated into the standard OPF formulation. Implementation issues and simulation results are discussed in the context of a 162-bus system.

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Section: B Computational Complexitymentioning

confidence: 99%

Section: B Computational Complexitymentioning

confidence: 99%

Stability-constrained optimal power flow

Gan

Thomas

Zimmerman

2000

IEEE Trans. Power Syst.

419

242

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“…Systems of this type that have already been implemented include the TSC of Chubu Electric Power [1] and the DSA of BC-Hydro [2]. The behavior of generators in CEPC is affected by the swings of generators in the neighboring utilities.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a new approach to the construction of external equivalents for use by power system stabilizing controllers

et al. 2001

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The network of Chugoku Electric Power Co. is connected to the networks of other utilities, and a fault occurring in the network may cause loss of synchronism between the group of generators belonging to the western side of the network and that of the remaining generators. In order to prevent a wide‐area blackout, a power system stabilizing controller is implemented which checks the results of numerous stability calculations, selects generators to be shed for stabilization if instability is predicted, and sheds them when a fault actually occurs. This paper describes the development and application of a new approach to the construction of an external equivalent for use by power system stabilizing controllers. © 2001 Scripta Technica, Electr Eng Jpn, 134(4): 1–9, 2001

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“…The second experimental site, located at the Greek TSO (HTSO), is addressed in another paper [3]. [2], [4], [5] to use them in the Real-time mode and to include them into realistic Training mode. TS and MS are very much related to existing power system simulator and to specific market.…”

Section: Introductionmentioning

confidence: 99%