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X. Jin, “The Application of Genetic Algorithm with Adaptive Population Size in Distribution Network,” North China Electric Power University, Beijing, 2011.

has been cited by the following article:

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

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

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

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.3 No.2B, October 12, 2013

  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.