风柴储海水淡化独立微电网系统能量管理方法

发布时间：2018-07-17 04:24

【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。
[Abstract]:Aiming at the independent microgrid system including large wind turbine, diesel generator, energy storage and seawater desalination, this paper first puts forward two operation modes of independent microgrid system according to its operation goal and operation characteristics. Then a real-time energy management scheduling strategy for microgrid based on ultra-short term wind speed prediction is proposed for two operation modes. The prediction model based on genetic algorithm-neural network (GA-BP) is used to predict wind speed. According to the results of ultra-short-term prediction, the operation mode of the current system is determined, the switching plan of desalination load is worked out, and the output power of fan is limited. Therefore, on the basis of ensuring the stable operation of the system, the real-time balance of power generation and load of renewable energy can be realized, thus reducing the operation time of diesel generators and making full use of wind power generation. Finally, the control strategy of two kinds of operation modes is simulated and verified by using the digital-analog hybrid simulation platform based on real-time digital simulation (RTDS). The experimental results show that the proposed strategy is feasible and correct.
【作者单位】：智能电网教育部重点实验室(天津大学);
【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
【分类号】：TM73

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