Comparison of risk-based and deterministic security assessments

Kirschen, Daniel S.; Jayaweera, Dilan

doi:10.1049/iet-gtd:20060368

Cited by 114 publications

(89 citation statements)

References 7 publications

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“…In accordance with the conventional deterministic reliability criteria, electricity systems are expected to withstand the occurrence of any one of a defined set of credible outages (e.g., a loss of one or two circuits in accordance with N − 1/N − 2 criterion) without causing overloads or inadequate voltages on any remaining circuits/busbars, and without violating system stability limits. Post-fault network overloads, following credible contingencies, are avoided by preventive operational measures or by a combination of preventive and corrective control (Kundur and Taylor, 2007;Kirschen and Jayaweera, 2007;Glatvitsch and Alvarado, 1998).…”

Section: Motivationmentioning

confidence: 99%

Reliability Standards for the Operation and Planning of Future Electricity Networks

Štrbac

Kirschen

Moreno

2016

FNT in Electric Energy Systems

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Section: Motivationmentioning

confidence: 99%

Reliability Standards for the Operation and Planning of Future Electricity Networks

Štrbac

Kirschen

Moreno

2016

FNT in Electric Energy Systems

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“…Second, we explain the differences in cost by comparing the risk level for the different formulations. Considering the solutions of the optimization problems obtained in the first part of this case study, we compute R spec (i,k) according to (1). For the SCOPF and the RB-SCOPF solution, we consider the case with P w = P f w .…”

Section: A Investigations 1) Generation Cost and Risk Level For Diffmentioning

confidence: 99%

“…These parameters incorporate the effect of cascading events and best reflects the impact on the customers in the system. However, computing the risk requires extensive calculations (i.e., Monte-Carlo simulations), and these types of risk measures are typically used to analyze the risk for a given operating condition [1], [2], as opposed to inclusion in an optimization problem. On the other hand, risk can be modeled in terms of violation of technical limits, e.g., dependent on the power flow of a line or on the voltage magnitude.…”

Section: Introductionmentioning

confidence: 99%

Risk-constrained optimal power flow with probabilistic guarantees

Roald¹,

Vrakopoulou²,

Oldewurtel³

et al. 2014

2014 Power Systems Computation Conference

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Abstract-Higher penetration of renewable energy and market liberalization increase both the need for transmission capacity and the uncertainty in power system operation. New methods for power system operational planning are needed to allow for efficient use of the grid, while maintaining security and robustness against disturbances. In this paper, we propose a risk model for risk related to outages, accounting for available remedial measures and the impact of cascading events. The new risk model is used to formulate risk-based constraints for the postcontingency line flows, which are included in an optimal power flow (OPF) formulation. Forecast uncertainty is accounted for by formulating the relevant constraints as a chance constraint, and the problem is solved using a sampling based technique. In a case study for the IEEE 30 bus system, we demonstrate how the proposed risk-based, probabilistic OPF allows us to control the risk level, even in presence of uncertainty. We investigate the trade-off between generation cost and risk level in the system, and show how accounting for uncertainty leads to a more expensive, but more secure dispatch.Keywords-risk-based optimal power flow, chance constrained optimal power flow, security, wind power integration

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“…Traditionally, the deterministic N-1 security criterion has been used to assess power system security. However, several incidents over the last decade have indicated that this assessment might no longer be sufficient as a guarantee against blackouts [2]. In [2], it is argued that additional information is needed to operate the system securely while maintaining a reasonably low cost, and that this additional information could be provided in terms of a so-called risk index.…”

Section: Introductionmentioning

confidence: 99%

“…However, several incidents over the last decade have indicated that this assessment might no longer be sufficient as a guarantee against blackouts [2]. In [2], it is argued that additional information is needed to operate the system securely while maintaining a reasonably low cost, and that this additional information could be provided in terms of a so-called risk index. Here, we propose a novel probabilistic approach to include information on uncertainties originating from RES in-feed into day-ahead operational planning.…”

Section: Introductionmentioning

confidence: 99%

Analytical reformulation of security constrained optimal power flow with probabilistic constraints

Roald

Oldewurtel

Krause

et al. 2013

2013 IEEE Grenoble Conference

112

182

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Abstract-In this paper, uncertainties from wind power in-feed are taken into account in a DC security-constrained optimal power flow (SCOPF) by formulating probabilistic constraints. The deviations from the wind power forecast are represented as Gaussian random variables and an analytical reformulation of the constraints is proposed, which is exact for the Gaussian distribution. The resulting formulation has the same computational complexity as the deterministic problem. Furthermore, a valuation framework to assess the cost of securing the system against fluctuations in wind power in-feed is proposed. The applicability of the method and the valuation framework is demonstrated on the IEEE RTS96 system. We show that the probabilistic formulation leads to lower probability of thermal overloads, and that it is less costly to secure the system against uncertain in-feed than to secure the system against failures in most cases.

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Comparison of risk-based and deterministic security assessments

Cited by 114 publications

References 7 publications

Reliability Standards for the Operation and Planning of Future Electricity Networks

Reliability Standards for the Operation and Planning of Future Electricity Networks

Risk-constrained optimal power flow with probabilistic guarantees

Analytical reformulation of security constrained optimal power flow with probabilistic constraints

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