| 含风电微电网负荷预测建模及其仿真 |
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| 引用本文： | 黎铭,王林,梁冰,扈海泽,资春元,莫异,方梦鸽,扈菲宇.含风电微电网负荷预测建模及其仿真[J].吉首大学学报(自然科学版),2019,40(4):43. |
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| 作者姓名： | 黎铭 王林 梁冰 扈海泽 资春元 莫异 方梦鸽 扈菲宇 |
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| 作者单位： | 吉首大学信息科学与工程学院,湖南吉首,416000;国网郴州供电分公司,湖南郴州,423000;长沙理工大学电气与信息工程学院,湖南长沙,410000 |
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| 基金项目： | 湖南省教育厅重点资助项目（17A173）；湖南省教育厅一般项目（18C0565）；吉首大学大学生创新性项目（9520113）；湖南省信息类专业校企合作创新创业教育基地项目（2017JSUJD032）；吉首大学科学研究项目（JD17007，JDX17030） |
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| 摘 要： | 风具有随机间歇性特性，在并网条件下参与电网负荷预测，其风速和风向的间歇性会对电网产生很大冲击，严重影响电力系统的稳定性.结合微电网的特点和风电运行特性，搭建微电网的基本负荷模型和风电模型，并采用MATLAB/Simulink建立负荷预测仿真模型.仿真结果表明，含风电微电网不仅能够抵御消化风电并网的影响，还能够有效降低电网的负荷曲线的峰谷差.含风电微电网参与电网的负荷预测能够有效地提高电力系统的供电可靠性.
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| 关 键 词： | 微电网 负荷预测 并网运行 MATLAB/Simulink 峰谷差 |
Load Forecasting Modeling and Simulation of Wind Power Microgrid |
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| LI Ming,WANG Lin,LIANG Bing,HU Haize,ZI Chunyuan,MO Yi,FANG Mengge,HU Feiyu.Load Forecasting Modeling and Simulation of Wind Power Microgrid[J].Journal of Jishou University(Natural Science Edition),2019,40(4):43. |
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| Authors: | LI Ming WANG Lin LIANG Bing HU Haize ZI Chunyuan MO Yi FANG Mengge HU Feiyu |
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| Institution: | (1. School of Information Science and Engineering, Jishou University, Jishou 416000, Hunan China; 2. Chengzhou Power Supply Company of State Grid, Chengzhou 423000, Hunan China; 3. School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410000, China) |
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| Abstract: | Wind has the characteristics of stochastic intermittence (mainly including the intermittence of wind direction and wind speed). In the process of grid-connected load forecasting, the intermittence of wind speed and wind direction will have a great impact on the power grid (mainly reflected in the frequency and voltage fluctuations of the power grid), seriously affecting the stability of the power system. Based on the characteristics of micro-grid and wind power operation characteristics, the basic load model and wind power model of micro-grid are built, and the load forecasting simulation model is built with MATLAB/Simulink. The simulation results show that the wind power micro-grid can not only resist the influence of wind power integration, but also effectively reduce the peak-valley difference of the load curve of the grid. Participation of wind power micro-grid in load forecasting of power grid can effectively improve the reliability of power supply system. |
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| Keywords: | micro-grid load forecasting grid-connected operation Matlab/simulink peak-valley difference |
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