Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science

The Electricity-purchasing Strategy of Power Companies Based on Distributed PV Power Generation Mode

Authors
Ying Chen
Corresponding Author
Ying Chen
Available Online March 2015.
DOI
10.2991/etmhs-15.2015.223How to use a DOI?
Keywords
Distributed PV power generation;Electricity-purchasing model;CPSO;Random variables
Abstract

For the uncertainty of the generating capacity of distributed PV generation caused by meteorological factors, this paper proposes a electricity-purchasing decisions model, taking the generating capacity of distributed PV generation and the price of the spot market as the random variables, using the HPSO algorithm to solve the model. At last, according to the data of purchasing electricity from a region, the model is analyzed and validated. The simulation and comparison show that the model is effective and feasible.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2015
ISBN
10.2991/etmhs-15.2015.223
ISSN
2352-5398
DOI
10.2991/etmhs-15.2015.223How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying Chen
PY  - 2015/03
DA  - 2015/03
TI  - The Electricity-purchasing Strategy of Power Companies Based on Distributed PV Power Generation Mode
BT  - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 1011
EP  - 1014
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.223
DO  - 10.2991/etmhs-15.2015.223
ID  - Chen2015/03
ER  -