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CN 32-1180/TP

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电网规划智能辅助决策系统的设计与实现
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为有效应对电网规划面临的数据量大、决策复杂、技术手段匮乏的局面,文中设计并实现了一种基于平台化设计、具有可视化及高级决策支持功能的电网规划智能辅助决策系统。该系统与地理信息系统(GIS)密切融合,内嵌一体化数据库,具有适应性评估、投资优先级决策、差异化规划及电网仿真软件数据接口等功能。在辅助决策过程中,通过电网调度模拟实现电源电网协调评估,仿照静态安全分析的原理确定项目投资优先级,利用图论算法识别电网骨干网架,借助新开发的仿真软件数据接口从规划方案提取数据进行拓扑重构及模型数据初始化。系统的设计与开发立足于工程实践,软件成果在湖北电网的初步应用验证了文中的设计思路和实现方法。

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湖北省电力公司重点科技计划项目

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Design and Implementation of an Intelligent Decision-making System for Power Grid Planning
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An intelligent decision-making system for power grid planning is designed and implemented on a unified platform to cope with the situation of large amounts of data,complex decision and the lack of technical tools. With the function of visualization and advanced decision-making,the system,embedded with a comprehensive built-in database,is closely merged with the geographical information system(GIS). The system has functions including adaptability evaluation,project prioritization,differentiated planning,and data interface to power system simulator. In the process of auxiliary decision-making,coordination assessment of power plants and power grid is conducted through power grid scheduling simulation,power grid expansion projects are prioritized following the fundamental principle of steady-state security analysis,the skeleton parts of a power grid are identified by a graph theoretical algorithm,and power system reconfiguration with initialized model data for commercial simulation software is produced from a planning scheme by applying the newly developed data interface to power system simulator. The software system is designed and developed from a practical point of view,and the design concepts and implementation methods proposed in the paper are verified by its preliminary applications in Hubei power grid.

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[1]周鲲鹏 ,方仍存 ,颜炯 ,等.电网规划智能辅助决策系统的设计与实现[J].电力系统自动化,2013,37(3):77-82. DOI:10.7500/AEPS201202158.
ZHOU Kunpeng, FANG Rengcun, YAN Jiong, et al. Design and Implementation of an Intelligent Decision-making System for Power Grid Planning[J]. Automation of Electric Power Systems, 2013, 37(3):77-82. DOI:10.7500/AEPS201202158.
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  • 收稿日期:2012-02-24
  • 最后修改日期:2012-12-27
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  • 在线发布日期: 2013-01-31
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