Abstract：In the paper, an energy management method is presented for microgrid consisting of wind power generation, diesel generator, energy storage system and sea water desalination system. Firstly, two operational modes are presented according to the operation objectives and operation characteristics of the microgrid. Secondly, a real time energy management strategy for the two modes is presented based on the super short-term wind speed prediction, which is on account of the genetic algorithm-neural network (GA-BP) prediction model. In accordance with the results of the super short-term wind speed prediction, the operational mode of the microgrid system can be confirmed, and the power limited order for the wind generation can be ensured, which can reduce the running time of diesel generator on the basis of the guarantee of the system stable operation. Lastly, using the analog-digital simulation platform built based on real time digital simulator (RTDS), a case is done to verify the control strategy of the two operational modes, which proved the validity and feasibility of the control strategy.
郭力, 王蔚, 刘文建, 焦冰琦, 王成山, 刘一欣, 王守相. 风柴储海水淡化独立微电网系统能量管理方法[J]. 电工技术学报, 2014, 29(2): 113-121.
Guo Li, Wang Wei, Liu Wenjian, Jiao Bingqi, Wang Chengshan, Liu Yixin, Wang Shouxiang. The Energy Management Method for Stand-Alone Wind/Diesel/Battery/Sea-Water Desalination Microgrid. Transactions of China Electrotechnical Society, 2014, 29(2): 113-121.
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2014, Vol. 29 
