DocumentCode
2628193
Title
Optimization of distribution network incorporating microgrid using vaccine-AIS
Author
Tan, Sicong ; Xu, Jianxin ; Panda, Sanjib Kumar
Author_Institution
NUS Grad. Sch. for Integrative Sci. & Eng. (NGS), Nat. Univ. of Singapore, Singapore, Singapore
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
1381
Lastpage
1386
Abstract
Previous studies focused only on the optimization of either microgrid load dispatch or reconfiguration power loss. Micorgrid economic load dispatch approach normally assumed that it could draw unlimited power from the utility grid. Network reconfiguration usually did not take microgrid into consideration. Thus, it is necessary to integrate these two sub-problems together in order to benefit the whole network. In this paper, an integrated solution that takes care of both microgrid load dispatch and network reconfiguration is proposed. The stochastic nature of wind, PV and load is taken into consideration. The forecasting of the wind, PV and load data are considered. The bio-inspired optimization scheme Vaccine-AIS is adopted to solve the problem. The results obtained have shown that the optimization technique is capable for this problem. By using the integration approach, microgrid can be incorporated into the network more effectively. The network can adjust itself more efficiently to allow the utilization of the renewable energy resources.
Keywords
distributed power generation; distribution networks; load forecasting; optimisation; power generation dispatch; PV forecasting; bio-inspired optimization scheme; distribution network; load data; micorgrid economic load dispatch; microgrid load dispatch; network reconfiguration; reconfiguration power loss; renewable energy resources; utility grid; vaccine-AIS; wind forecasting; Forecasting; Generators; History; Loading; Logic gates; Meteorology; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6388539
Filename
6388539
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