Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/137723
Title: STATISTICAL ANALYSIS OF ELECTRICITY SUPPLY IN MICROGRIDS
Authors: KONG YAONAN
Keywords: microgird, load forecasting, PV cell, load-sharing system, redundancy, statistical analysis
Issue Date: 5-Jul-2017
Source: KONG YAONAN (2017-07-05). STATISTICAL ANALYSIS OF ELECTRICITY SUPPLY IN MICROGRIDS. ScholarBank@NUS Repository.
Abstract: This dissertation aims to develop statistical techniques for advanced topics of the electricity supply in microgrids. We first propose the similarity-based load forecasting to reasonably dispatch electricity in microgrids. The incorporation of weather factors into the similarity definition, and a growth rate assumption for the load forecasting, are the main novelties. Then, the PV panel is commonly used in microgrids to generate electricity due to the renewable solar energy. We improve the performance evaluation of PV cells by considering the estimation uncertainty of performance indicators. The estimation uncertainty provides reasonable research orientation in the solar cell development. Last, as the solar energy is interruptible, traditional electric generators are utilized to supply electricity without interruption in microgrids. We model the generators as a load-sharing redundant system and study the statistical inference of such system to improve the reliability of electricity supply.
URI: http://scholarbank.nus.edu.sg/handle/10635/137723
Appears in Collections:Ph.D Theses (Open)

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