A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations

Xingbo Fu; Feng Gao; Jiang Wu; Ruanming Huang; Yichao Huang; Fei Fei

doi:10.1109/ISGT-Asia.2019.8881133

A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations

Xingbo Fu
, Feng Gao
, Jiang Wu
, Ruanming Huang
, Yichao Huang
, Fei Fei

电子与信息学部

Xi'an Jiaotong University
State Grid Shanghai Electric Economic and Technology Research Institute

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Solar energy is one of important renewable energy sources and simulation of solar irradiance can be used as input for simulation of photovoltaic (PV) generation. This paper proposes a simulation algorithm of multi-station solar irradiance data considering temporal correlations. First of all, we group all the days of the observed data to k clusters for each station based on their daily features of solar irradiance and the daily states constitute Markov chain of days. Then, we reduce state permutations of different stations before getting Markov Transition Probability Matrix (MTPM). In terms of the observed data and MTPM, the simulation approach is proposed. Finally, we test our approach by applying to solar irradiance data of three stations and show that the properties of simulated data match those of the observed data.

源语言	英语
主期刊名	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
页	4215-4220
页数	6
ISBN（电子版）	9781728135205
DOI	https://doi.org/10.1109/ISGT-Asia.2019.8881133
出版状态	已出版 - 5月 2019
活动	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 - Chengdu, 中国期限: 21 5月 2019 → 24 5月 2019

出版系列

姓名	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

会议

会议	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
国家/地区	中国
市	Chengdu
时期	21/05/19 → 24/05/19

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ISGT-Asia.2019.8881133

其它文件与链接

链接到 Scopus 的出版物

引用此

Fu, X., Gao, F., Wu, J., Huang, R., Huang, Y., & Fei, F. (2019). A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 (页码 4215-4220). 文章 8881133 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2019.8881133

@inproceedings{8cc13f70474f48d3b6509084059ff8b3,

title = "A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations",

abstract = "Solar energy is one of important renewable energy sources and simulation of solar irradiance can be used as input for simulation of photovoltaic (PV) generation. This paper proposes a simulation algorithm of multi-station solar irradiance data considering temporal correlations. First of all, we group all the days of the observed data to k clusters for each station based on their daily features of solar irradiance and the daily states constitute Markov chain of days. Then, we reduce state permutations of different stations before getting Markov Transition Probability Matrix (MTPM). In terms of the observed data and MTPM, the simulation approach is proposed. Finally, we test our approach by applying to solar irradiance data of three stations and show that the properties of simulated data match those of the observed data.",

keywords = "Feature clustering, MTPM, PV generation, solar irradiance simulation, state space reduction",

author = "Xingbo Fu and Feng Gao and Jiang Wu and Ruanming Huang and Yichao Huang and Fei Fei",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 ; Conference date: 21-05-2019 Through 24-05-2019",

year = "2019",

month = may,

doi = "10.1109/ISGT-Asia.2019.8881133",

language = "英语",

series = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

}

Fu, X, Gao, F, Wu, J, Huang, R, Huang, Y & Fei, F 2019, A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019., 8881133, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Institute of Electrical and Electronics Engineers Inc., 页码 4215-4220, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Chengdu, 中国, 21/05/19. https://doi.org/10.1109/ISGT-Asia.2019.8881133

A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. / Fu, Xingbo; Gao, Feng; Wu, Jiang 等.
2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 4215-4220 8881133 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations

AU - Fu, Xingbo

AU - Gao, Feng

AU - Wu, Jiang

AU - Huang, Ruanming

AU - Huang, Yichao

AU - Fei, Fei

PY - 2019/5

Y1 - 2019/5

N2 - Solar energy is one of important renewable energy sources and simulation of solar irradiance can be used as input for simulation of photovoltaic (PV) generation. This paper proposes a simulation algorithm of multi-station solar irradiance data considering temporal correlations. First of all, we group all the days of the observed data to k clusters for each station based on their daily features of solar irradiance and the daily states constitute Markov chain of days. Then, we reduce state permutations of different stations before getting Markov Transition Probability Matrix (MTPM). In terms of the observed data and MTPM, the simulation approach is proposed. Finally, we test our approach by applying to solar irradiance data of three stations and show that the properties of simulated data match those of the observed data.

AB - Solar energy is one of important renewable energy sources and simulation of solar irradiance can be used as input for simulation of photovoltaic (PV) generation. This paper proposes a simulation algorithm of multi-station solar irradiance data considering temporal correlations. First of all, we group all the days of the observed data to k clusters for each station based on their daily features of solar irradiance and the daily states constitute Markov chain of days. Then, we reduce state permutations of different stations before getting Markov Transition Probability Matrix (MTPM). In terms of the observed data and MTPM, the simulation approach is proposed. Finally, we test our approach by applying to solar irradiance data of three stations and show that the properties of simulated data match those of the observed data.

KW - Feature clustering

KW - MTPM

KW - PV generation

KW - solar irradiance simulation

KW - state space reduction

UR - https://www.scopus.com/pages/publications/85074917088

U2 - 10.1109/ISGT-Asia.2019.8881133

DO - 10.1109/ISGT-Asia.2019.8881133

M3 - 会议稿件

AN - SCOPUS:85074917088

T3 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

SP - 4215

EP - 4220

BT - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

Y2 - 21 May 2019 through 24 May 2019

ER -

Fu X, Gao F, Wu J, Huang R, Huang Y, Fei F. A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 4215-4220. 8881133. (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019). doi: 10.1109/ISGT-Asia.2019.8881133

A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations

摘要

出版系列

会议

联合国可持续发展目标

访问文件

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