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The rapid development of wind power has provided a potential energy source in electrical power system. A number of forecasting methodologies have been proposed to predict wind power based on the historical meteorological data and the time-scale framework. However, no forecasting techniques show the predominance over the others. A comprehensive understanding of wind power forecasting errors can lead to a better operational manner of electrical power system. Therefore, the primary purpose of this paper is to perform a statistical analysis of short-term wind power forecasting errors based on practical wind power measurements. First of all, a short-term wind power data from Belgium was investigated. Secondly, the wind power forecasting errors were analyzed based on several statistical criteria. Thirdly, comparisons were made between the analyzed error distribution and the normal distribution which is commonly assumed in electrical power system simulation studies. Finally, a correcting method was proposed to improve the assumption of wind power forecasting error distribution.
1.1 Introduction
In this section, A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution is discussed, with relevant and recent citations. As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the aim and objectives of the study. Others are significance of the study, scope of work, research hypothesis and questions, limitation of the study and definition of terms.
This chapter focuses on the review of related literature. A literature review presents current knowledge, as well as theoretical and methodological contributions, related to A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution. It documents the state of the art on the subject under study and provides a comprehensive survey of existing literature. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …
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