Home
Editorial Boards
Author Guide
Editor Guide
Reviewer Guide
Published Issues
journal menu
Aims and Scope
Article Processing Charge
Indexing Service
Open Access
Publication Ethics
Editorial Process
Contact Us
Copyright and Licensing
General Information
ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
.
Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
Read More
]
What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
Home
>
Published Issues
>
2019
>
Vol. 8, No. 6, November 2019
>
Coordinated planning of micro energy grid based on dynamic radial basis function model
Author(s): Kaijun Lin
a
, Junyong Wu
a
, Di Liu
a
, Bojing Liu
b
a
School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing 100044, China
b
China Electric Power Media Group, Xicheng District, Beijing 100761, China
International Journal of Smart Grid and Clean Energy
, vol. 8, no. 6, November 2019: pp. 731-739
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.8.6.731-739
Abstract
: The micro energy grid (MEG) couples a variety of energy sources and conducts multi-dimensional coordinated management and distribution of various types of energy, such as cooling, heating and electrical energy, which is a concrete realization of the energy internet in the region. The research on the coordinated planning of the MEG is the key to the economic and reliable operation of the MEG. This paper proposes an MEG coordinated planning method based on dynamic radial basis function (DRBF) model. An MEG model considering the operational characteristics and economics of energy supply devices is established, and the DRBF model planning strategy is proposed in combination with the Latin hypercube sampling method to solve the optimal planning. The effectiveness of the established model and the solution method is verified by simulation. The proposed method can obtain reasonable devices’ configuration and optimal operation scheme simultaneously, and improve the energy efficiency.
Keywords
: micro energy grid, radial basis function, coordinated planning, configuration
Full Paper.pdf
PREVIOUS PAPER
Quantifying energy storage augmented capacity value of wind generation in electricity market
NEXT PAPER
Estimation program and load test for low-voltage main distribution board