A Study of Photovoltaic Power Prediction-Reference-Cited by-同舟云学术

A Study of Photovoltaic Power Prediction

Published:2015-02 Issue: Volume:733 Page:203-206
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Yan Long¹,Xu Jing²,Yuan Chong²

Affiliation:

1. Jinzhou Municipal Power Supply Company of State Grid Liaoning Electric Power Company

2. Northeast Dianli University

Abstract

Solar photovoltaic power generation as an inexhaustible, inexhaustible clean energy has become the focus of future energy development. Along with photovoltaic power generation incorporated into the power grid, in order to make power generation plan reasonably, ensure the stable operation of power system, need to forecast the photovoltaic power output. In this paper solar photovoltaic power generation forecasting methods are analyzed and summarized. According to the application of solar photovoltaic power generation and demand, mainly on photovoltaic power generation system power prediction research method has carried on the comprehensive elaboration, hoping for the researches play an important role in promoting and advancing the development of solar photovoltaic prediction methods.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.733.203.pdf

Reference9 articles.

1. J. Xu, Z.H. Chen, J. Tang, et al: Solar photovoltaic power generation forecasting website system designs and evaluates, J. Journal of Hydroelectric Energy Science, Vol. 29 (2011) No. 12, pp.193-195.

2. Y. Deng, S.J. Hu, Y. F. Meng, H. H. Xu: Methods of photovoltaic power generation system power prediction, J. Electric Manufacturing, (2013) No. 6, pp.50-53.

3. V. Vapnik: An overview of statistical learning going, J. IEEE Trans on Neural Networks, Vol. 10 (1999), No. 5, p . 988-999.

4. J, Lu, H. Q. Zhai, C. Liu, et al: Photovoltaic power prediction statistical method research, J. Journal of East China Power, Vol. 38(2010) No. 4, pp.563-567.

5. P. Bracale Caramia, G. Carpinelli, et al: A Bayesian method for short-term probabilistic forecasting of photovoltaic generation in smart grid operation and control, J. Journal of Energy, (2013) No. 6. pp.733-747.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An active frequency drift method for island problem of grid‐connected photovoltaic power generation system;IEEJ Transactions on Electrical and Electronic Engineering;2019-07-28