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Journal ArticleDOI

Time-series models for reliability evaluation of power systems including wind energy

TLDR
In this paper, two different time-series models generated using different available wind data are used to illustrate these models, and the proposed wind models satisfy the basic statistical tests and preserve the high-order auto-correlation, seasonal property and diurnal distributions of the actual wind speed.
About
This article is published in Microelectronics Reliability.The article was published on 1996-09-01. It has received 477 citations till now. The article focuses on the topics: Wind power & Wind speed.

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Citations
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Journal ArticleDOI

Sizing of Energy Storage for Microgrids

TL;DR: Quantitative results show that the optimal size of BESS exists and differs for both the grid-connected and islanded MGs in this paper.
Journal ArticleDOI

A simplified wind power generation model for reliability evaluation

TL;DR: In this paper, the authors present a simplified method for reliability evaluation of power systems with wind power and illustrate with an example the development of a common wind speed model applicable to multiple wind farm locations.
Journal ArticleDOI

imputeTS: Time Series Missing Value Imputation in R

TL;DR: This paper provides an introduction to the imputeTS package and its provided algorithms and tools, and gives a short overview about univariate time series imputation in R.
Journal ArticleDOI

Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy

TL;DR: In this paper, the authors proposed a methodology for allocating an ESS in a distribution system with a high penetration of wind energy, aiming to maximize the benefits for both the DG owner and the utility by sizing the ESS to accommodate all amounts of spilled wind energy and by then allocating it within the system in order to minimize the annual cost of the electricity.
Journal ArticleDOI

Generating capacity adequacy associated with wind energy

TL;DR: In this paper, the authors present a methodology for capacity adequacy evaluation of power systems including wind energy, using a Monte Carlo simulation approach to conduct the analysis and the hourly wind speeds are simulated using an autoregressive moving average time-series model.
References
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Journal ArticleDOI

Time Series Analysis: Forecasting and Control

TL;DR: Time Series Analysis and Forecasting: principles and practice as mentioned in this paper The Oxford Handbook of Quantitative Methods, Vol. 3, No. 2: Statistical AnalysisTime-Series ForecastingPractical Time-Series AnalysisApplied Bayesian Forecasting and Time Series AnalysisSAS for Forecasting Time SeriesApplied Time Series analysisTime Series analysisElements of Nonlinear Time Series analyses and forecastingTime series analysis and forecasting by Example.
Book

Classical and modern regression with applications

TL;DR: In this article, the authors focus on concepts with a blend between illustrations using real data sets and mathematical and conceptual development and emphasize applications with examples that illustrate nearly all the techniques discussed, including simultaneous influence, maximum likelihood estimation of parameters, and the plotting of residuals.
Book

Time series and system analysis with applications

TL;DR: A comprehensive, applications-oriented treatment of time series analysis that clearly explains the use of ARMA forecasts and includes a complete treatment of the Box/Jenkins approach to modelling.
Journal ArticleDOI

Development of a New Procedure for Reliability Modeling of Wind Turbine Generators

TL;DR: In this article, a method for determining the impact of wind generation on system reliability is developed, which combines the effects of wind turbine forced outage rates and varying power output due to wind speed variations.
Journal ArticleDOI

Reliability Modeling of Generation Systems Including Unconventional Energy Sources

TL;DR: In this article, a method for reliability evaluation of electric power systems with unconventional energy sources, such as solar power plants and wind turbine generators, is presented, where the fluctuating nature of energy produced by such unconventional units has a different effect on the overall system reliabilv than conventional units.
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