摘要
针对包含大型风力发电机、柴油发电机、储能及海水淡化的独立微电网系统,本文首先根据其运行目标和运行特点提出了独立微电网系统的两种运行模式,然后针对两种运行模式提出了基于超短期风速预测的微电网实时能量管理调度策略。采用基于遗传算法-神经网络(GA-BP)的预测模型进行风速预测,并根据超短期预测结果,确定当前系统的运行模式,制定海水淡化负荷的投切计划,以及风机输出功率的限制指令,从而在保证系统稳定运行的基础上,实现可再生能源发电出力与负荷的实时平衡,从而达到减少柴油发电机运行时间、充分利用风力发电的目标。最后采用基于实时数字仿真(RTDS)搭建的数模混合仿真平台针对两种运行模式的控制策略进行了仿真验证,实验结果表明本文所提策略的可行性和正确性。
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.
出处
《电工技术学报》
EI
CSCD
北大核心
2014年第2期113-121,共9页
Transactions of China Electrotechnical Society
基金
国家高技术研究发展计划(863计划)(2011AA05A107)
国家自然科学基金项目(51207099)
国家电网公司间歇性可再生能源海岛电网运行技术研究及工程示范项目资助
关键词
海水淡化
微电网
能量管理
风速预测
Sea water desalination
microgrid
energy management
wind speed forecast
