Composite Reliability Evaluation Using Monte Carlo Simulation and Least Squares Support Vector Classifier

Pindoriya, Naran M.; Jirutitijaroen, Panida; Srinivasan, Dipti; Singh, Chanan

doi:10.1109/tpwrs.2011.2116048

Cited by 65 publications

(24 citation statements)

References 16 publications

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“…Monte Carlo simulation is an easily implemented and practical attempt. The basic idea of Monte Carlo is to replace the probability of a target with its frequency of occurrence [76]. The Monte Carlo method has been applied to the analysis of the charge/discharge behaviour of PHEVs/EVs by building an aggregated model embedded in the EDP framework [77].…”

Section: Solution For Edp Considering Phevs/evsmentioning

confidence: 99%

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Liu

et al. 2013

Energies

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Abstract:Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs) industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

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Section: Solution For Edp Considering Phevs/evsmentioning

confidence: 99%

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Liu

et al. 2013

Energies

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“…Optimum correlation parameter using pattern search DKG also utilizes the pattern search algorithm to find the optimal correlation parameter θ in (2) based on MLE. The MLE maximization problem for θ is written by find θ (9) where ζ(θ) is equivalent to the maximum likelihood estimator. Since it is not a gradient-based optimization method, the pattern search algorithm is powerful enough to find the optimum which satisfies (9).…”

Section: Best Basis-function Set Using Genetic Algorithmmentioning

confidence: 99%

“…The main advantage of MCS lies on the simplicity in numerical implementation but it often requires expensive computational cost depending on the simulation time for a given design problem, g(x i ), once. Some research in the field of power system, which utilizes the genetic algorithm, particle swarm optimization or artificial immune system [8,9], has been carried out to render the MCS computationally more efficient. However there is still a consistent need for computationally efficient and more accurate methods for reliability assessment of EM device designs.…”

Section: Proposed Mcs Based On Surrogate Modelmentioning

confidence: 99%

Efficient Methodology for Reliability Assessment of Electromagnetic Devices Utilizing Accurate Surrogate Models Based on Dynamic Kriging Method

Kim¹,

Jeung²,

Choi³

et al. 2012

Journal of Magnetics

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This paper presents an efficient methodology for accurate reliability assessment of electromagnetic devices. To achieve the goal, elaborate surrogated models to approximate constraint functions of interest are generated based on the dynamic Kriging method and a hypercube local window. Then, the Monte Carlo simulation scheme is applied to the surrogate models. This leads to reducing computational cost dramatically without degrading accuracy of the reliability analysis. The validity of the proposed method is tested and examined with a mathematical example and a loudspeaker design.

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“…For power systems with high complexity, the analytic method is usually very complicated and with low accuracy due to the linearization process. As a representative sampling simulation method, straightforward MC has been widely used in power system risk assessment and some improved variations of MC have also been developed [12][13][14]. The auxiliary importance sampling density function was employed in [15] to reduce the computational effort of MC for power system risk assessment.…”

Section: Introductionmentioning

confidence: 99%

An Integrated LHS–CD Approach for Power System Security Risk Assessment with Consideration of Source–Network and Load Uncertainties

Xia

Song

et al. 2019

Processes

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Large-scale wind power integrated into power grids brings serious uncertainties and risks for power system safe operation, and it is imperative to evaluate power system security risk pertinent to high-level of uncertainties. In this paper, a comprehensive source–network–load probabilistic model, representing the typical uncertainties penetrated in power generation transmission consumption portion, is firstly set for power system operation. Afterwards an integrated LHS–CD approach based on the Latin hypercube sampling (LHS) and Cholesky decomposition (CD) is tailored to effectively conduct the security risk assessment, in which the LHS is utilized to stratified sample the uncertainties of wind power and thermal power, transmission line outage, and load demands, while the CD part is adopted to address the correlations of uncertainties by rearranging the sampled matrix generated by LHS. Moreover, static voltage risk and transmission line overloaded risk index are properly defined for quantitatively evaluating power system operational security risk. Simulation results of a modified New England 39-bus system confirm that the proposed integrated LHS–CD approach is effective and efficient for power system security risk assessment with consideration of source–network–load demand uncertainties.

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Composite Reliability Evaluation Using Monte Carlo Simulation and Least Squares Support Vector Classifier

Cited by 65 publications

References 16 publications

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs): A Review

Efficient Methodology for Reliability Assessment of Electromagnetic Devices Utilizing Accurate Surrogate Models Based on Dynamic Kriging Method

An Integrated LHS–CD Approach for Power System Security Risk Assessment with Consideration of Source–Network and Load Uncertainties

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