Multi-timescale Collaborative Optimization of Distribution, Distributed Generation and Load in Microgrid

Wen Hu, Yun-lian Sun, Yang Wang, Yang-jun Zhou, Meng-ying Wang

School of Electrical Engineering, Wuhan University, Wuhan City, Hubei Province, China.

DOI: 10.4236/ojapps.2013.32B003                

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.

Keywords

Microgrid; Multi-timescale; Collaborative Optimization; Time-sequence Property; Improved Adaptive

Conflicts of Interest

The authors declare no conflicts of interest.

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