Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

OCCI And PSO-based Optimization And Management System for Grid Maintenance Scheduling

Authors
Qian Liu, Wenying Liu, Guohua Gao
Corresponding Author
Qian Liu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.213How to use a DOI?
Keywords
Intelligent Dispatching, Maintenance Scheduling, Optimization Methodology, OCCI, PSO
Abstract
Smart grid is an inevitable choice for the future development of the grid. Smart scheduling is one of the cores to build the strong and smart grid in China. Optimization and Management System for Grid Maintenance Scheduling is an in-depth exploration to achieve dispatching digitalization, intellectualization and visualization. This paper gives a rather detailed description about the functionality and implementation of Optimization and Management System for Grid Maintenance Scheduling. With received maintenance schedules as the basic data, OCCI-based data processing techniques and PSO-based optimization methodology are adopted to achieve the standardization and intellectualization of the grid maintenance scheduling. Moreover, the maintenance schedules generated and related information are managed in a standardized way. The design from this paper together with its programs has been applied in practice, achieving satisfying effect.
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Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.213How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qian Liu
AU  - Wenying Liu
AU  - Guohua Gao
PY  - 2013/03
DA  - 2013/03
TI  - OCCI And PSO-based Optimization And Management System for Grid Maintenance Scheduling
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 848
EP  - 851
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.213
DO  - https://doi.org/10.2991/iccsee.2013.213
ID  - Liu2013/03
ER  -