Research on One-Map Power Grid Display and Opti‍mal Dis‍patching Based on Lightweight 3D Engine of Metaverse for Power Systems

GUO Lingxu; TANG Ping; LI Yifang; MA Shiqian; GAO Shengyuan; MA Wanle

doi:10.3969/j.issn.1008-0198.2026.01.007

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Research on One-Map Power Grid Display and Opti‍mal Dis‍patching Based on Lightweight 3D Engine of Metaverse for Power Systems

更新时间：2026-03-11

- Research on One-Map Power Grid Display and Opti‍mal Dis‍patching Based on Lightweight 3D Engine of Metaverse for Power Systems
- Vol. 46, Issue 1, Pages: 54-59(2026)
- 作者机构：
  
  1. 国网天津市电力公司,天津,300310
  2. 清华大学电机工程与应用电子技术系,北京,100084
  3. 北京用尚科技股份有限公司,北京,100085
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1008-0198.2026.01.007
  CLC： TM734
- Online First：10 March 2026，
  
  Published：10 March 2026
- 稿件说明：
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郭凌旭, 唐萍, 李宜芳, 马世乾, 高圣源, 马万乐. 基于元宇宙电力轻量化三维引擎的电网一张图展示与优化调度[J]. 湖南电力, 2026, 46(1): 54-59.

GUO Lingxu, TANG Ping, LI Yifang, et al. Research on One-Map Power Grid Display and Opti‍mal Dis‍patching Based on Lightweight 3D Engine of Metaverse for Power Systems[J]. 2026, 46(1): 54-59.
郭凌旭, 唐萍, 李宜芳, 马世乾, 高圣源, 马万乐. 基于元宇宙电力轻量化三维引擎的电网一张图展示与优化调度[J]. 湖南电力, 2026, 46(1): 54-59. DOI： 10.3969/j.issn.1008-0198.2026.01.007.

GUO Lingxu, TANG Ping, LI Yifang, et al. Research on One-Map Power Grid Display and Opti‍mal Dis‍patching Based on Lightweight 3D Engine of Metaverse for Power Systems[J]. 2026, 46(1): 54-59. DOI： 10.3969/j.issn.1008-0198.2026.01.007.

摘要

本文提出一种基于元宇宙的电力轻量化三维引擎设计

以模型轻量化、高性能渲染与算力网络优化为核心

通过几何与纹理压缩、多细节层次技术降低模型数据量

引入屏幕空间环境光遮蔽与几何着色器优化算法提升渲染性能

并构建“云—端多级弹性算力网络”实现资源协同与能耗优化

可高效支撑“电网一张图”和虚拟调度指挥中心等应用。该研究为电力系统可视化的智能化与元宇宙化提供了新路径。

Abstract

This paper proposes a lightweight 3D engine design for power systems based on the Metaverse

with the core focuses on model lightweighting

high-performance rendering

and computing network optimization. The model data volume is reduced by applying geometric and texture compression with Level of Detail(LOD) techniques. Screen Space Ambient Occlusion(SSAO) and geometry shader optimization is introduced to enhance rendering performance

and a cloud-edge hierarchical elastic computing network is constructed to achieve resource collaboration and energy consumption optimization. The engine effectively supports applications such as the “One-Map Power Grid” and virtual dispatching command centers. This study provides a new pathway for the intelligence and metaverseization of power system visualization.

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