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Multi-source coordination and scheduling strategy of new energy with high proportion of wind power, photovoltaic and photothermal
Wei, Xiong2; Xiaoying, Zhang2; Kun, Wang1; Wei, Chen2; Xiaolan, Wang2
2019-09-01
会议日期September 6, 2019 - September 9, 2019
会议地点Yichang, China
关键词Electric power system economics Electric power transmission networks Energy efficiency Fossil fuel power plants Integer programming Linear programming MATLAB Photovoltaic cells Scheduling Smart power grids Solar power generation Wind power Coordinated scheduling Grid efficiency New energies Objective to optimize Photovoltaic
DOI10.1109/IGBSG.2019.8886271
页码661-665
英文摘要In recent years, scholars at home and abroad have mostly considered the coordination and scheduling optimization of wind power, photovoltaic and conventional thermal power units, but rarely considered the photothermal units in the research on the coordination and scheduling strategy of a high proportion of new energy grid connection. With the large-scale rise of photovoltaic power stations, how to coordinate and optimize the scheduling of wind-photovoltaic, solar-thermal and thermal power has become a key problem for the grid integration of high proportion of new energy at present. This paper mainly considers the economy of the grid-connected system, takes the maximization of grid-connected benefit as the goal, and based on the optimized constraint conditions, constructs a mixed integer programming model suitable for the scheduling strategy of this paper to coordinate and control the output power of thermal power, wind power, photovoltaic and photothermal power. In addition, the simplex method and interior point method are combined in MATLAB for programming solution and simulation analysis. Simulation results show that the proposed strategy can maximize the grid-connection benefit. © 2019 IEEE.
会议录2019 4th International Conference on Intelligent Green Building and Smart Grid, IGBSG 2019
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/118072]  
专题电气工程与信息工程学院
作者单位1.Electric Power Research Institute State, Grid Gansu Electric Power Company, Lanzhou, China
2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China;
推荐引用方式
GB/T 7714
Wei, Xiong,Xiaoying, Zhang,Kun, Wang,et al. Multi-source coordination and scheduling strategy of new energy with high proportion of wind power, photovoltaic and photothermal[C]. 见:. Yichang, China. September 6, 2019 - September 9, 2019.
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