Research on Sensitivity Analysis for Composite Generation and Transmission System Reliability Evaluation

Yuan, Zhao; Zhou, Niancheng; Zhou, Jiaqi; Zhao, Xuetong

doi:10.1109/icpst.2006.321566

Cited by 20 publications

(15 citation statements)

References 4 publications

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“…The sensitivities of this index with respect to u i , λ i and μ i are the same as for the LOLP index except that they are multiplied by the amount of load curtailments. The sensitivity analysis of the EDNS with respect component capacities was derived as follows [2], [3], [20].…”

Section: Sensitivity Analysismentioning

confidence: 99%

Use of intelligent search methods in performing sensitivity analysis of power system reliability indices

Benidris

Mitra

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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This work introduces a technique to reduce the search space in evaluating the sensitivity of the well known reliability indices of power systems with respect to component parameters and system operating limits. In performing the sensitivity analysis, the computation time burden is of concern. A heuristic technique based on maximum capacity flow of the transmission lines was used in truncating the state space by identifying the definite failure subspace. Minimum generation vector technique was utilized to prune the definite success subspace. The failure states in the unclassified subspace were discovered using binary Particle Swarm Optimization, PSO, technique. From the definite failure subspace and the failure states that are discovered by the binary PSO, the sensitivity of the reliability indices were calculated. This method was applied on the IEEE RTS and it gave promising results.

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Section: Sensitivity Analysismentioning

confidence: 99%

Use of intelligent search methods in performing sensitivity analysis of power system reliability indices

Benidris

Mitra

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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“…Sensitivity analysis can be conducted analytically by enumerating all system states or by simulation. The work in (Melo & Pereira, 1995;Y. Zhao, Zhou, Zhou, & X. Zhao, 2006;Zhu, 2006;Benidris & Mitra, 2014) provides relationships that are suitable for use in state space enumeration.…”

Section: Sensitivity Analysis Of Lolp and Lolf With Respect To Componmentioning

confidence: 99%

“…The sensitivity analysis of the EDNS with respect component capacities was derived as follows (Y. Zhao, et al, 2006;Zhu, 2006;Benidris & Mitra, 2014).…”

Section: Sensitivity Analysis Of Ednsmentioning

confidence: 99%

Applications of Particle Swarm Optimization in Composite Power System Reliability Evaluation

Benidris

Elsaiah

Mitra

2015

Advances in Computational Intelligence and Robotics

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This chapter introduces a novel technique to evaluate composite power system reliability indices and their sensitivities with respect to the control parameters using a dynamically directed binary Particle Swarm Optimization (PSO) search method. A key point in using PSO in power system reliability evaluation lies in selecting the weighting factors associated with the objective function. In this context, the work presented here proposes a solution method to adjust such weighting factors in a dynamic fashion so that the swarm would always fly on the entire search space rather of being trapped to one corner of the search space. Further, a heuristic technique based on maximum capacity flow of the transmission lines is used in classifying the state space into failure, success, and unclassified subspaces. The failure states in the unclassified subspace can be discovered using binary PSO technique. The effectiveness of the proposed method has been demonstrated on the IEEE RTS.

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“…Methodologies for calculating the sensitivity of some reliability indices with respect to the variations in component's parameters and system operating limits have been introduced in [6][7][8][9][10]. One of the advantages of using sensitivity analysis is that it allows planners to enhance the overall system reliability by improving the reliability parameters and available capacity of each component in a separate manner.…”

Section: Introductionmentioning

confidence: 99%

Reliability and sensitivity analysis of composite power systems considering voltage and reactive power constraints

Benidris¹,

Mitra²

2015

IET Generation, Transmission & Distribution

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This study investigates the effects of voltage and reactive power constraints on composite system reliability indices. Four indices have been used to assess the sensitivity of load curtailments to voltage and reactive power constraints. Furthermore, expressions to evaluate the sensitivity of the severity indices with respect to the voltage and reactive power constraints have been developed. Extensive simulations on the Institute of Electrical and Electronics Engineers (IEEE) reliability test system based on the AC power flow model were carried out to correlate the violations of these limits and the loading level of the system. A non-linear, AC power flow-based model has been used to accurately represent system redispatch. A state space reduction technique has been utilised to reduce the computation time. A comparison between redispatch models using AC and DC power flow has been provided to illustrate the benefits of the more accurate AC flow model and to investigate the effects of the voltage and reactive power constraints on reliability indices.

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Research on Sensitivity Analysis for Composite Generation and Transmission System Reliability Evaluation

Cited by 20 publications

References 4 publications

Use of intelligent search methods in performing sensitivity analysis of power system reliability indices

Use of intelligent search methods in performing sensitivity analysis of power system reliability indices

Applications of Particle Swarm Optimization in Composite Power System Reliability Evaluation

Reliability and sensitivity analysis of composite power systems considering voltage and reactive power constraints

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