期刊文献+

基于复杂科学管理思维与MAS技术的智能电网信息管理系统研究 被引量:3

Research on Smart Grid Information Management System Based on Complex Scientific Management Thinking and Multi Agent System Technology
原文传递
导出
摘要 首先基于复杂性系统的特征,指出智能电网信息管理系统(smart grid information management system,SGIMS)属于一个复杂适应性系统,并具备智能性、多层级性、非线性、互动性、涌现性、适应性以及自组织性等诸多复杂性特征;其次基于复杂科学管理理念,认为构建SGIMS需要采纳系统化、模块化和环状因果与可视化的复杂科学管理思维;最后,以多智能系统(multi-agent systems,MAS)技术方法为基础,构建了基于电力生产过程以及信息管理流程的多层级多智能模块的SGIMS设计框架,并指出该信息系统的实现需要相应体系的支持,包括投资保障体系、技术安全体系、电力市场管理组织体系、标准规范体系与政策支持体系等。 Based on complexity system features, firstly it is pointed out that smart grid information management system (SGIMS) should be classified to the category of complexity systems and possesses various complexity features such as intelligence, multi- hierarchies, nonlinearity, interactivity, emergence, adaptability and self-organization; secondly, based on the idea of complex scientific management, it is considered that it is necessary to adopt complex scientific management thinking, which possesses the fundamental nature of systematization, modularization, circular causality and visualization; finally, according to multi-agent system (MAS) technology and based on electric power production process and information management process an SGIMS design frame with multi-hierarchies and multi-agent modules is constructed, and it is pointed out that to implement this information system, the support from corresponding systems, including investment guarantee system, technology security system, electricity market management and organization system, standard specification system, policy support system and so on, is necessary.
出处 《电网技术》 EI CSCD 北大核心 2012年第8期204-208,共5页 Power System Technology
关键词 复杂科学管理 多智能系统技术 智能电网信息管理系统 复杂性特征 complex scientific management multi-agent systems (MAS) technology smart grid information management system (SGIMS) complexity features
  • 相关文献

参考文献24

  • 1Kumar R, Ray P D, Reed C. Smart grid: an electricity market perspective, innovative smart grid technologies(ISGT)[C]//2011 IEEE PES. Medellin, Colombia: IEEE, 2011: 1-8.
  • 2Hooper E. Strategic and intelligent smart grid systems engineering, intemet technology and secured transaetions(ICITST)[C]//2010 The 5th ICITST. London, UK: ICITST, 2010: 1-6.
  • 3Boroomand F, Fereidunian A, Zamani M A, et al. Cyber security for smart grid: a human-automation interaction framework[C]//Innovative Smart Grid Technologies Conference Europe(ISGT Europe), 2010 IEEEPES. Gothenburg, Sweden: IEEE, 2010: 1-6.
  • 4苗新,张恺,田世明,李建歧,殷树刚,赵子岩.支撑智能电网的信息通信体系[J].电网技术,2009,33(17):8-13. 被引量:138
  • 5陈树勇,宋书芳,李兰欣,沈杰.智能电网技术综述[J].电网技术,2009,33(8):1-7. 被引量:1127
  • 6张文亮,刘壮志,王明俊,杨旭升.智能电网的研究进展及发展趋势[J].电网技术,2009,33(13):1-11. 被引量:628
  • 7史忠植.智能Agent及其应用[M].北京:科学出版社,2000.
  • 8Pah Wostl C. The implications of complexity for integrated resources management[J]. Environmental Modelling & Software, 2007(22): 561-569.
  • 9陈红英,杨宜民.基于多智能体的网络信息系统的原理与实现[J].微电子学与计算机,2005,22(3):57-59. 被引量:2
  • 10Bonabeau E. Understanding and managing complexity risk[J]. MIT Sloan Management Review, 2007, 48(4): 62-68.

二级参考文献136

共引文献1962

同被引文献24

引证文献3

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部