4.3 Article

A classification control strategy for energy storage system in microgrid

Journal

Publisher

WILEY-BLACKWELL
DOI: 10.1002/tee.22099

Keywords

storage classification control; wind-storage hybrid microgrid; Monte Carlo methods; energy storage system; distribution network reliability

Funding

  1. National Key Technology Research and Development Program of China [2013BAA01B00]
  2. National Natural Science Foundation of China [51377021]
  3. Natural Science Foundation of Jiangsu Province [BK2012753]
  4. Science and Technology Project of State Grid Corporation of China [SGTJ0000KXJS1400087]
  5. Qing Lan Project

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Storage devices are indispensable elements in a microgrid to compensate for the power imbalance between loads and the distributed generator (DG) output. Different storage strategies give diverse performances in adjustment speed and capacity. Based on the performance of different storage devices and the features of power imbalance curve in different periods, a classification control strategy is proposed in this paper. First, storage devices are given priorities according to the adjusting speed, and the power imbalance curve is divided into two periods according to the changing speed. During an emergency, all the storages are employed to compensate the rapidly increasing power imbalance; during the steady period, storage device with higher priority is employed to track the instantaneous component of power imbalance, while storage device with lower priority is used to replace the kWh output of higher priority storage. The proposed strategy is tested in a microgrid within the subdistribution network of IEEE RBTS Bus6 system using Monte Carlo methods. Simulation results indicate that the classification control strategy could endow the system with fast adjusting ability through coordination between storages. Reliability indices of the testing system are utilized to demonstrate that the classification control strategy could improve the stability of the microgrid and reliability of the distribution network. (c) 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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