Computer Engineering and Applications ›› 2019, Vol. 55 ›› Issue (23): 241-247.DOI: 10.3778/j.issn.1002-8331.1808-0361

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Multi-Objective Power Dispatching Considering New Energy Access

XIAO Junming, GAO Hongyang, ZHU Yongsheng, QU Boyang   

  1. School of Electric and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
  • Online:2019-12-01 Published:2019-12-11



  1. 中原工学院 电子信息学院,郑州 450007

Abstract: The development of new energy technologies is an effective way to reduce the dependence on fossil fuels and solve pollution emissions. However, large-scale new energy integration will also affect the safe and stable operation of the power grid. In order to study the impact of new energy and grid-connected power represented by wind power and electric vehicles on power dispatch, a multi-objective dynamic environmental economic security dispatch model that takes into account factors such as grid operating costs, pollution emissions, and daily load variances is established and based on decomposition. A multi-objective evolutionary algorithm(MOEA/D-M2M) is used for scheduling analysis. A simulation study is conducted on a 10-machine system with wind power and electric vehicles connected to the grid to verify the rationality and effectiveness of the proposed scheduling model and method.

Key words: electric vehicles, wind power, environmental and economic security, power dispatch, multi-objective evolutionary algorithm

摘要: 发展新能源技术是减少化石能源依赖以及解决污染排放问题的有效途径,但是规模化的新能源并网也会影响电网的安全稳定运行。为研究以风电、电动汽车为代表的新能源并网对电力调度的影响,建立综合考虑电网运行成本、污染排放、日负荷方差等因素的多目标动态环境经济安全调度模型,并采用基于分解的多目标进化算法(MOEA/D-M2M)进行复杂约束条件下的调度分析。对含风电和电动汽车并网的10机系统进行仿真研究,验证了所提调度模型及方法的合理性及有效性。

关键词: 电动汽车, 风电, 环境经济安全, 电力调度, 多目标进化算法