孙宏斌;黄天恩;郭庆来;张伯明;郭文鑫;刘文涛;徐泰山;许涛;

• 1:清华大学电机工程与应用电子技术系
• 2:电力系统及发电设备控制和仿真国家重点实验室(清华大学)
• 3:广东电网有限责任公司电力调度控制中心
• 4:南瑞集团(国网电力科学研究院)有限公司

摘要(Abstract)：

随着电网运行方式时变性和复杂性日益增强,传统基于人工离线规则的调度决策机制难以为继,成为国内外复杂电网运行迫切需要解决的问题。基于人工智能、立足现有调度机制,研究面向调度决策的智能机器调度员(automatic operator,AO)关键技术及应用。在总结10余年研究的基础上,提出了电网调度运行"邻域知识"模型,构建了AO体系架构,提出了知识自动发现、管理和在线应用的技术路线,研发了复杂电网AO系统,并在多个省级电网调控中心在线投运。AO将"专家智能"离线制定粗放运行规则的模式,变革为"人工智能"在线发现精细运行规则的模式,推动调度决策从"自动化"到"智能化"的跨越。最后,指出了尚待研究的问题。

关键词(KeyWords)： 调度决策;人工智能;智能机器调度员(AO);知识发现;知识管理和应用

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划资助项目(2018YFB0904500);; 国家自然科学基金创新研究群体科学基金资助项目(51621065)~~

作者(Author): 孙宏斌;黄天恩;郭庆来;张伯明;郭文鑫;刘文涛;徐泰山;许涛;

Email:

DOI:

参考文献(References)：

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