ABSTRACT The distribution loads, output of distributed generations (DGs) and dynamic power price present obvious time-sequence property, the typical property is studied in this paper. The model of microgrid (including adjustable load, DGs, storage and dynamic power price) is studied. A multi-timescale collaborative optimization model is built towards microgrid; main measures in different timescale optimization are realized. An improved adaptive genetic algorithm is used to solve the optimization problem, which improved the efficiency and reliability. The proposed optimization model is simulated in IEEE 33 node system; the results show it’s effective.
Cite this paper
W. Hu, Y. Sun, Y. Wang, Y. Zhou and M. Wang, "Multi-timescale Collaborative Optimization of Distribution, Distributed Generation and Load in Microgrid," Open Journal of Applied Sciences, Vol. 3 No. 2, 2013, pp. 12-17. doi: 10.4236/ojapps.2013.32B003.
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