Correlation Analysis in Wind Speed and Solar Insolation temporal series in Indian locations

J. Das
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引用次数: 0

Abstract

Hybrid Renewable Energy Systems (HRES) with more than one renewable source with appropriate storage can cater to the energy demand in a location when operating in grid dependent or isolated mode. Knowledge of region wise wind and solar potential is essential for optimum design of HRES in a location. Location specific temporal characteristics of renewable parameters have been analysed using Correlation Analysis (CA). This paper presents long term correlation and cross correlation analysis of wind speed and solar insolation across different locations in India. Detrended Fluctuation Analysis (DFA) and Detrended Cross Correlation Analysis (DCCA) has been used for determining the nature of correlations in the non-stationary temporal series. The information relating to the extent of cross correlation between wind speed and solar insolation at different locations will act as a pointer towards optimum region selection and component sizing of HRES.
印度地区风速与日晒时间序列的相关分析
混合可再生能源系统(HRES)具有多个具有适当存储的可再生能源,可以在电网依赖或隔离模式下满足一个地方的能源需求。了解该地区风能和太阳能的潜力对于一个地区的HRES优化设计至关重要。利用相关分析(CA)分析了可再生参数的位置特定时间特征。本文介绍了印度不同地区的风速和日晒量的长期相关和相互相关分析。去趋势波动分析(DFA)和去趋势互相关分析(DCCA)已被用于确定非平稳时间序列中相关性的性质。风速与太阳日晒在不同地点的相互关联程度的相关信息将作为HRES的最佳区域选择和分量大小的指针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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