A reliability study of transmission system protection via a hidden failure DC load flow model

Chen, J.; Thorp, J.S.

doi:10.1049/cp:20020066

Cited by 27 publications

(14 citation statements)

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“…Thorp and his collaborators [31], [1], [8] perform a reliability study of transmission system protection devices using linear load flow approximation and linear programing optimization of generation dispatch and load shedding operations. Their approach uses a probabilistic model to simulate the incorrect tripping (sympathetic tripping) of lines and generators due to hidden failures of line or generator protection systems.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Model for Power Grid Dynamics

Anghel

Werley

Motter³

2007

2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)

126

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Abstract-We introduce a stochastic model that describes the quasi-static dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random removing of system components from service, random repair times for the failed components, and random response times to implement optimal system corrections for removing line overloads in a damaged or stressed transmission network. We use a linear approximation to the network flow equations and apply linear programming techniques that optimize the dispatching of generators and loads in order to eliminate the network overloads associated with a damaged system. We also provide a simple model for the operator's response to various contingency events that is not always optimal due to either failure of the state estimation system or due to the incorrect subjective assessment of the severity associated with these events. This further allows us to use a game theoretic framework for casting the optimization of the operator's response into the choice of the optimal strategy which minimizes the operating cost. We use a simple strategy space which is the degree of tolerance to line overloads and which is an automatic control (optimization) parameter that can be adjusted to trade off automatic load shed without propagating cascades versus reduced load shed and an increased risk of propagating cascades. The tolerance parameter is chosen to describes a smooth transition from a risk averse to a risk taken strategy. We present numerical results comparing the responses of two power grid systems to optimization approaches with different factors of risk and select the best blackout controlling parameter.

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Section: Introductionmentioning

confidence: 99%

Stochastic Model for Power Grid Dynamics

Anghel

Werley

Motter³

2007

2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)

126

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“…In [17] a simulation model is proposed to calculate the expected cost of failures, taking into account time-dependent phenomena such a cascade tripping of elements due to overloads, malfunction of the protection system, potential power system instabilities and weather conditions. Other examples emphasizing different aspects of the problem have been proposed e.g., in [18][19][20][21], in which hidden failures of the protection system are represented. Their approach uses a probabilistic model to simulate the incorrect tripping of lines and generators due to hidden failures of line or generator protection systems.…”

Section: Background and Related Workmentioning

confidence: 99%

Modelling Interdependencies Between the Electricity and Information Infrastructures

Laprie

Kanoun

Kaâniche

2007

Lecture Notes in Computer Science

114

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Abstract. The aim of this paper is to provide qualitative models characterizing interdependencies related failures of two critical infrastructures: the electricity infrastructure and the associated information infrastructure. The interdependencies of these two infrastructures are increasing due to a growing connection of the power grid networks to the global information infrastructure, as a consequence of market deregulation and opening. These interdependencies increase the risk of failures. We focus on cascading, escalating and common-cause failures, which correspond to the main causes of failures due to interdependencies. We address failures in the electricity infrastructure, in combination with accidental failures in the information infrastructure, then we show briefly how malicious attacks in the information infrastructure can be addressed.

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“…Several models based on simulation have been proposed [7], [8], [9], [10], [11], [12], [13], [14], [15], [16] to represent EPS in more detail compared to analytical approaches. A brief summary of some of the available cascading failure simulations and of their modeling details can be found in [17].…”

Section: Related Workmentioning

confidence: 99%

“…The size of blackouts is determined by solving a standard linear programming optimization of the generation dispatch, consistent with the power flow equations and operational constraints, and the redistribution of power flows is calculated using a linear load flow approximation. The model proposed in [11] uses a DC load flow approximation and a linear programming technique to represent cascading blackouts. It also considers sympathetic trippings of grid elements due to latent failures in protection devices (hidden failures), on a probabilistic basis.…”

Section: Related Workmentioning

confidence: 99%

Simulation Models and Implementation of a Simulator for the Performability Analysis of Electric Power Systems Considering Interdependencies

Haberkorn¹,

Trivedi

2007

10th IEEE High Assurance Systems Engineering Symposium (HASE'07)

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Electric Power Systems (EPS) become more and more critical for our society, since they provide vital services for the human activities. At the same time, obtaining dependable behaviour of EPS is an highly challenging task, both in terms of defining effective business management and in terms of analysis of dependability and performability attributes. A major concern when dealing with EPS is the understanding and the evaluation of the interdependencies between Electric Infrastructures (EI) and the Computer-based Control System (CCS), which controls the status and the activities of EI. Studies on these interdependencies are only at an early stage of development. Major difficulties are the complexity of the infrastructures under analysis and the lack of well-established models and tools for dealing with them. This paper presents an ad-hoc simulator for the evaluation of dependability and performability measures in EPS. The system model the simulator is based on focuses on interdependencies between EI and CCS. Most existing modeling approaches in EPS does not provide explicit modeling of interdependencies among the composing subsystems, so that the cascading or escalating phenomena cannot be deeply analyzed. Our stochastic model is composed by separated and simple, but representative, submodels representing the dynamics of EI and different policies of reactions to disruptions and reconfigurations triggered by CCS. In this way, the simulator aims at providing explicit modeling of the interdependencies between the main subsystems, so the impact on the dependability and performability of the cascading or escalating failures can be analyzed. In this paper, we describe the simulator and highlight the design choices.

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A reliability study of transmission system protection via a hidden failure DC load flow model

Cited by 27 publications

References 0 publications

Stochastic Model for Power Grid Dynamics

Stochastic Model for Power Grid Dynamics

Modelling Interdependencies Between the Electricity and Information Infrastructures

Simulation Models and Implementation of a Simulator for the Performability Analysis of Electric Power Systems Considering Interdependencies

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