Fast Technique for Power System Security Assessment Using Sensitivity Parameters of Linear Programming

Farghal, S.A.; Tantawy, M. A.; Hussien, M. S. Abou; Hassan, S. A.; El‐Ela, Adel A. Abou

doi:10.1109/mper.1984.5526028

Cited by 2 publications

(2 citation statements)

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“…Generally, most existing works for the power system security evaluation, using deterministic or probabilistic tools, are based on the N − 1 or N -k criterion with a given operating condition. Tough the deterministically based approaches such as sensitivity analysis [29], have the merits of straightforward understanding and easy implementation, the results are highly conservative since it only depends on the worst-case scenario. For other works that are in the probabilistic framework, several reliability parameters like Loss of Load Probability (LOLP), Expected Energy Not Served (EENS) are used to reveal the effect of any cascading events [30].…”

Section: Discussion and Comparison With Prior Workmentioning

confidence: 99%

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Huang

Abedi

et al. 2019

IEEE Access

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With the deepening penetration of renewable resources worldwide, power system operators are faced with emerging challenges, e.g., the increase of operating risks due to the volatility and uncertainty of wind and solar power. To efficiently identify the operational limit violations, a switch from deterministic to stochastic framework for assessing the system security, which could manage various types of uncertainties, has been advocated in this paper. The established model is based on an improved probabilistic load flow, which is adapted to incorporate the steady-state behavior of frequency regulation. An efficient importance sampling (IS) technique is also developed to speed up the crude Monte Carlo (MC) simulation in estimating the low probability of violations of security constraints. Extensive computational experiments on both the IEEE 14-bus test case and a simplified regional system show that the proposed IS estimator makes significant enhancement to the crude MC in the computational efficiency and has better numerical performance as compared with other IS schemes. INDEX TERMS Security risk assessment, numerical method, renewable energy integration, frequency regulation, probability.

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Section: Discussion and Comparison With Prior Workmentioning

confidence: 99%

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Huang

Abedi

et al. 2019

IEEE Access

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“…In general, the appended constraints depend on both the pre-and postcontingency variables; however, an approach based on the linearization of a precontingency base-case can simplify the representation of the constraints. To incorporate contingency constraints, we will use a linear programming approach that iterates between solution of a base-case and calculation of postcontingency states [3,4]. In each iteration, a precontingency base-case OPF is first solved.…”

Section: Introductionmentioning

confidence: 99%

Application of Distributed Optimal Power Flow to Power System Security Assessment

Hur¹,

Kim

2003

Electric Power Components and Systems

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This paper presents an algorithm for the parallel solution of the security constrained optimal power flow (SCOPF) problem in a decentralized framework, consisting of regions, using a price-based mechanism that models each region as an economic unit. We first solve the distributed optimal power flow (OPF) problem to determine the maximum secure simultaneous transfer capability of each tie-line between adjacent regions by taking into account only the security constraints imposed on the tie-lines. In this article, the line outage distribution factors (LODF) calculated at the current state are used to formulate the appended constraints. Once the secure transfer capability of each tie-line is determined, the intraregional SCOPF is performed using the conventional linear programming (LP) approach. A description of the inclusion of security constraints with the distributed optimal power flow algorithm will be given, followed by the case studies for Korea Electric Power System.

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Fast Technique for Power System Security Assessment Using Sensitivity Parameters of Linear Programming

Cited by 2 publications

References 0 publications

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Application of Distributed Optimal Power Flow to Power System Security Assessment

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