考虑不同场景的微电网短期经济调度分析  

Analysis of Short-Term Economic Dispatch of Microgrid Considering Different Scenarios

作　　者：刘春晖 张政 牟辉龙 袁方 LIU Chunhui;ZHANG Zheng;MOU Huilong;YUAN Fang(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao Shandong 266590,China)

机构地区：[1]山东科技大学电气与自动化工程学院,山东青岛266590

出　　处：《电子器件》2021年第6期1491-1498,共8页Chinese Journal of Electron Devices

基　　金：国家自然科学基金青年基金(61801271);山东科技大学电气自动化类优秀教学团队建设项目(JXTD20190505)。

摘　　要：因风、光出力存在较大的波动性,大规模的风、光电并网会影响微电网的经济调度运行。为研究在短时间尺度下风、光电并网对微电网的经济调度影响,以模糊神经网络算法对风、光出力进行预测,并结合三种不同场景,建立以融合日前1 h尺度优化与日内15 min尺度滚动修正,及1 min尺度实时调度的短期优化调度模型。以微电网综合效益最大化为目标,对短时间尺度下微电网的经济调度采取更加精细化的调度策略。结果表明,微电网能在不同场景的短期尺度下,提高各电源的精细化调度水平,实现经济效益最大化。Due to the large fluctuation of wind and light output, large-scale wind and light grid connection will affect the economic dispatching operation of microgrid. In order to study the influence of wind-solar integration on the economic dispatch of microgrid in a short time scale, the wind-solar output is predicted by fuzzy neural network algorithm, and a short-term optimal dispatch model is established by combining with three different scenarios, which integrates the scale optimization of 1 hour before the day, the rolling correction of 15 minutes within the day and the real-time dispatch of 1 minute scale. In order to maximize the comprehensive benefits of microgrid, the economic dispatch strategy of microgrid in short-term time scale is refined. The results show that microgrid can improve the fine scheduling level of each power supply in short-term scale of different scenarios and maximize economic benefits.

关 键 词：微电网 模糊神经网络 置信水平 机会约束规划 滚动修正 实时调度 

分 类 号：TM732[电气工程—电力系统及自动化]