Perfect power visualization-performance optimization with Java

Chenqi Bao, A. Flueck, Jianmin Bao, Xuan Shen
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Abstract

Visualization is critical in power systems engineering since the gigantic amount of data generated by power systems is difficult, and at times impossible, to be analyzed numerically. Therefore, the need for powerful visualization software has been increasingly acute due to the growth in size of power system models. To improve PPV's performance in order to accompany larger systems, this paper focuses on the development of PPV (Perfect Power Visualization), a 2-D power system visualization software program that processes and converts numerical data to graphic symbols based on their types, positions and states. The goal of PPV is to let operators visualize and interact with large-scale power systems in a consumer lever personal computer in real time. Also, it was optimized again with smarter data management systems, refinement of overall structure, and a newer platform that enables GPU acceleration, all of which further increased the performance of PPV by a factor of ten times that of its initial capabilities.
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完美的电源可视化-性能优化与Java
可视化在电力系统工程中是至关重要的,因为电力系统产生的大量数据很难,有时甚至不可能进行数值分析。因此,随着电力系统模型规模的增长,对强大的可视化软件的需求日益迫切。为了提高PPV的性能,以配合更大的系统,本文重点开发了PPV(完美电力可视化),这是一个二维电力系统可视化软件程序,可以根据其类型,位置和状态将数值数据处理并转换为图形符号。PPV的目标是让操作人员实时可视化并与消费者级个人计算机中的大型电力系统进行交互。此外,它再次优化了更智能的数据管理系统,改进了整体结构,以及支持GPU加速的新平台,所有这些都进一步提高了PPV的性能,比其初始功能提高了十倍。
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