Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients

As a renewable source, solar power presents great potential for applications in power systems. However, due to the randomness of the weather condition, solar power output cannot keep steady. Accordingly when a solar photovoltaic (PV) unit is connected to the grid, it will cause frequency deviation i...

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Main Author: Sun, Haiguang.
Other Authors: Wang Peng
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/55299
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-552992023-07-04T15:49:05Z Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients Sun, Haiguang. Wang Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering As a renewable source, solar power presents great potential for applications in power systems. However, due to the randomness of the weather condition, solar power output cannot keep steady. Accordingly when a solar photovoltaic (PV) unit is connected to the grid, it will cause frequency deviation in the power system and if the injection level is high, it can be a serious problem in terms of power quality. Hence it is necessary and important to find a way to make short-term forecasting for solar power. This project aims to make short-term solar power forecasting and contains three main objectives. Firstly, establish a database for real-time solar power and weather data. Secondly, analyze the relationships between each weather factor and solar power output. Lastly, forecast the trend of solar power based on historical data and the similar condition approach. This report begins with a literature review, introducing some basic theories on solar power forecasting and management of microgrid, followed by the introduction of the similar condition approach and Euclidean distance. The brief introduction of the software used in this project is also included. Data analysis provides a clear indication of the relationships between each weather factor and solar power output. A case study is provided in this report. Areas recommended for future works are also included. Master of Science (Power Engineering) 2014-02-10T01:40:15Z 2014-02-10T01:40:15Z 2013 2013 Thesis http://hdl.handle.net/10356/55299 en 87 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Sun, Haiguang.
Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
description As a renewable source, solar power presents great potential for applications in power systems. However, due to the randomness of the weather condition, solar power output cannot keep steady. Accordingly when a solar photovoltaic (PV) unit is connected to the grid, it will cause frequency deviation in the power system and if the injection level is high, it can be a serious problem in terms of power quality. Hence it is necessary and important to find a way to make short-term forecasting for solar power. This project aims to make short-term solar power forecasting and contains three main objectives. Firstly, establish a database for real-time solar power and weather data. Secondly, analyze the relationships between each weather factor and solar power output. Lastly, forecast the trend of solar power based on historical data and the similar condition approach. This report begins with a literature review, introducing some basic theories on solar power forecasting and management of microgrid, followed by the introduction of the similar condition approach and Euclidean distance. The brief introduction of the software used in this project is also included. Data analysis provides a clear indication of the relationships between each weather factor and solar power output. A case study is provided in this report. Areas recommended for future works are also included.
author2 Wang Peng
author_facet Wang Peng
Sun, Haiguang.
format Theses and Dissertations
author Sun, Haiguang.
author_sort Sun, Haiguang.
title Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
title_short Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
title_full Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
title_fullStr Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
title_full_unstemmed Short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
title_sort short-term solar power forecasting using similar condition approach based on euclidean distance with weighted coefficients
publishDate 2014
url http://hdl.handle.net/10356/55299
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