Annual renewable energy planning platform: Methodology and design

Fangdi Zeng; Zhaohong Bie; Xiaofei Li; Zifen Han; Yong Zhi; Yankai Zhang

doi:10.1109/COASE.2017.8256297

Annual renewable energy planning platform: Methodology and design

Fangdi Zeng
, Zhaohong Bie
, Xiaofei Li
, Zifen Han
, Yong Zhi
, Yankai Zhang

School of Electrical Engineering

Xi'an Jiaotong University
State Grid Corporation of China
State Grid Gansu Electric Power Company Material Company

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

With the popularity of computer and internet technology applied in the energy internet, the development of a new platform for renewable energy planning is on the way as a response to the increase of the percentage of renewable energy in energy mix. An annual renewable energy planning platform is designed in this paper. The method based on time sequential simulation is used and an optimization with the objective to maximize the renewable energy accommodation is proposed for the decision making of annual renewable energy planning. The framework of the platform is presented and database technology is applied to realize the software interface for the data share between the renewable energy planning platform and other software. Additionally, a case test is presented to show the effect of the method.

Original language	English
Title of host publication	2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Publisher	IEEE Computer Society
Pages	1392-1397
Number of pages	6
ISBN (Electronic)	9781509067800
DOIs	https://doi.org/10.1109/COASE.2017.8256297
State	Published - 1 Jul 2017
Event	13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: 20 Aug 2017 → 23 Aug 2017

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2017-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	13th IEEE Conference on Automation Science and Engineering, CASE 2017
Country/Territory	China
City	Xi'an
Period	20/08/17 → 23/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/COASE.2017.8256297

Cite this

Zeng, F., Bie, Z., Li, X., Han, Z., Zhi, Y., & Zhang, Y. (2017). Annual renewable energy planning platform: Methodology and design. In 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017 (pp. 1392-1397). (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2017.8256297

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title = "Annual renewable energy planning platform: Methodology and design",

abstract = "With the popularity of computer and internet technology applied in the energy internet, the development of a new platform for renewable energy planning is on the way as a response to the increase of the percentage of renewable energy in energy mix. An annual renewable energy planning platform is designed in this paper. The method based on time sequential simulation is used and an optimization with the objective to maximize the renewable energy accommodation is proposed for the decision making of annual renewable energy planning. The framework of the platform is presented and database technology is applied to realize the software interface for the data share between the renewable energy planning platform and other software. Additionally, a case test is presented to show the effect of the method.",

author = "Fangdi Zeng and Zhaohong Bie and Xiaofei Li and Zifen Han and Yong Zhi and Yankai Zhang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE Conference on Automation Science and Engineering, CASE 2017 ; Conference date: 20-08-2017 Through 23-08-2017",

year = "2017",

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doi = "10.1109/COASE.2017.8256297",

language = "英语",

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Zeng, F, Bie, Z, Li, X, Han, Z, Zhi, Y & Zhang, Y 2017, Annual renewable energy planning platform: Methodology and design. in 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE International Conference on Automation Science and Engineering, vol. 2017-August, IEEE Computer Society, pp. 1392-1397, 13th IEEE Conference on Automation Science and Engineering, CASE 2017, Xi'an, China, 20/08/17. https://doi.org/10.1109/COASE.2017.8256297

Annual renewable energy planning platform: Methodology and design. / Zeng, Fangdi; Bie, Zhaohong; Li, Xiaofei et al.
2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society, 2017. p. 1392-1397 (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - With the popularity of computer and internet technology applied in the energy internet, the development of a new platform for renewable energy planning is on the way as a response to the increase of the percentage of renewable energy in energy mix. An annual renewable energy planning platform is designed in this paper. The method based on time sequential simulation is used and an optimization with the objective to maximize the renewable energy accommodation is proposed for the decision making of annual renewable energy planning. The framework of the platform is presented and database technology is applied to realize the software interface for the data share between the renewable energy planning platform and other software. Additionally, a case test is presented to show the effect of the method.

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ER -

Annual renewable energy planning platform: Methodology and design

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