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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Utility Function-Based Real-Time Control of A Battery Ultracapacitor Hybrid Energy System
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Utility Function-Based Real-Time Control of A Battery Ultracapacitor Hybrid Energy System

机译：基于效用函数的电池超级电容器混合能源系统实时控制

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摘要

This paper discusses a utility function-based control of a battery-ultracapacitor (UC) hybrid energy system. The example system employs the battery semiactive topology. In order to represent different performance and requirements of the battery and UC packs, the two packs are modeled as two independent but related agents using the NetLogo environment. Utility functions are designed to describe the respective preferences of battery and UC packs. Then, the control problem is converted to a multiobjective optimization problem solved by using the Karush-Kuhn-Tucker (KKT) conditions. The weights in the objective functions are chosen based on the location of the knee point in the Pareto set. Both the simulation and experimental results show the utility function-based control provides a comparable performance with the ideal average load demand (ALD)-based control, while the exact preknowledge of the future load demand is not required. The utility function-based control is fast enough to be directly implemented in real time. The discussion in this paper gives a starting point and initial results for dealing with more complex hybrid energy systems.
机译：本文讨论了一种基于实用功能的电池-超级电容器（UC）混合能源系统控制。示例系统采用电池半主动拓扑。为了代表电池和UC电池组的不同性能和要求，使用NetLogo环境将这两个电池组建模为两个独立但相关的代理。实用程序功能旨在描述电池组和UC电池组各自的偏好。然后，将控制问题转换为通过使用Karush-Kuhn-Tucker（KKT）条件解决的多目标优化问题。目标函数中的权重是根据帕累托集中拐点的位置来选择的。仿真和实验结果均表明，基于效用函数的控制可提供与基于理想平均负载需求（ALD）的控制相当的性能，而无需确切了解未来的负载需求。基于实用程序功能的控制足够快，可以实时直接实现。本文的讨论给出了处理更复杂的混合能源系统的起点和初步结果。

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  • 来源
    《Industrial Informatics, IEEE Transactions on》 |2015年第1期|220-231|共12页
  • 作者

    He Yin; Chen Zhao; Mian Li; Chengbin Ma;

  • 作者单位

    University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China;

    University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China;

    University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China;

    University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Batteries; Optimization; Load modeling; Informatics; Supercapacitors; DC-DC power converters;

    机译：电池;优化;负载建模;信息学;超级电容器;DC-DC电源转换器;

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