Open AccessBase on the ultra‐short term power prediction and feed‐forward control of energy management for microgrid system applied in industrial park
Author(s) -
Tian Jun,
Liu Zhengyu,
Shu Jun,
Liu Jingbo,
Tang Jian
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0135
Subject(s) - microgrid , energy management system , reliability engineering , control engineering , electric power system , grid connection , energy management , smart grid , grid , energy storage , computer science , automotive engineering , engineering , power (physics) , energy (signal processing) , renewable energy , electrical engineering , photovoltaic system , statistics , physics , geometry , mathematics , quantum mechanics
As microgrid system is still in the stage of demonstration application, microgrid system has to satisfy more stringent requirements for grid connection: 1. In order to ensure the security of grid, the output power of microgrid system is less than the factory load, not sending power to the grid. 2. The power fluctuations of microgrid system must meet the demands of National Standard. In order to improve the output characteristics of microgrid system applied in industrial park to meet the requirement of grid connection, an energy management strategy based on the ultra short term power prediction and feed‐forward control is proposed. Through the ultra short term power prediction, the output power of microgrid system is effective controlled to track the factory load, not sending power to the grid. Through feed‐forward control of battery energy storage systems (BESS), the power fluctuations of microgrid system are smoothed to meet the demands of National Standard. On the basis of real time digital simulator (RTDS) and energy management controller, the hardware in the loop (HIL) experimental platform is built to verify the effectiveness of algorithm. The security and stability operation of MW microgrid demonstration project verified the validity of the energy management strategy.