基于信息—物理模型的多能源路由器多目标优化
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TM93

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国家重点研发计划项目(2018YFA0702200);国家自然科学基金(62073064)


Multiobjective optimization of multienergy router based on a cyber physical model
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    摘要:

    针对能源路由器的多时间尺度问题,考虑能源路由器在优化时信息物理交互的影响,建立了基于信息物理系统的能源路由器模型并设计了计及多时间尺度能源的多能源路由器优化调度方法。首先考虑能源路由器信息和物理因素的关系建立其物理信息模型,该模型能够准确反映各约束变量之间的关系,为后续优化决策提供依据。然后基于奇异系统理论,提出了一种垂直结构的多时间尺度能源路由器数据分析方法,该方法可有效消除数据时间尺度差异性所带来的影响。进而针对互联的能源路由器提出了基于多智能体粒子群算法的分布式能源路由器多目标优化方法。最后通过仿真验证了所提出方法的有效性。

    Abstract:

    For the multiple time scale problem of energy routers, the impact of cyber physics interaction is considered and the energy router modeling based on cyber physics system is established. Then, an optimization scheduling method of energy router with multienergies is proposed based on the multiple time scale in this paper. Firstly, the cyber physics modeling of the energy router is established according to the relationship between cyber and physical factors. This model could reflect the relationships between individual constraint variables accurately, and provide the optimization decision basis. Secondly, a vertical structure data analysis method with the multiple time scale for the energy router is proposed by singular system theory. The method could effectively eliminate the influence of the time scale difference of data. In addition, a multiobjective optimization method for distributed energy routers based on multiagent particle swarm optimization (PSO) algorithm is proposed for interconnected energy routers. Eventually, the simulation results can verify the effectiveness of the proposed method.

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柳梦琳,马大中,孙秋野.基于信息—物理模型的多能源路由器多目标优化[J].电力科学与技术学报,2021,36(1):32-41.
LIU Menglin, MA Dazhong, SUN Qiuye. Multiobjective optimization of multienergy router based on a cyber physical model[J]. Journal of Electric Power Science and Technology,2021,36(1):32-41.

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  • 在线发布日期: 2021-04-16
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