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
Link To Document :
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