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电力系统随机动力学研究展望
作者:
作者单位:

1. 河海大学能源与电气学院, 江苏省南京市 210098; 2. 河海大学可再生能源发电技术教育部工程研究中心, 江苏省南京市 210098; 3. 南瑞集团公司(国网电力科学研究院), 江苏省南京市 211106; 4. 智能电网保护和运行控制国家重点实验室, 江苏省南京市 211106

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基金项目:

国家重点基础研究发展计划(973计划)资助项目(2013CB228204);国家自然科学基金资助项目(51137002)


Research Prospects for Stochastic Dynamics of Power System
Author:
Affiliation:

1. College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China; 2. Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China; 3. NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; 4. State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China

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    摘要:

    随机性广泛存在于自然、工程和社会系统中,电力系统也不例外。20世纪70年代左右,电力系统研究逐渐考虑随机性,但偏重于稳态随机问题,而动态问题研究仍然是确定性的。近年来,新能源发电与电动汽车等的广泛接入,给电力系统动态带来不可忽视的随机性。为此,文中提出电力系统随机动力学的研究框架,聚焦电力系统在随机因素作用下的动态问题,包括电力系统的随机动力学模型、随机动态响应、随机稳定性、随机安全性、随机优化控制,并给出研究建议。

    Abstract:

    Randomness exists extensively in nature, engineering and social systems, the power system not excepted. Randomness has gradually taken into consideration in power system analysis since the 1970s, with emphasis on analysis of steady-state random problems while research on power system dynamics is still based on the deterministic theory. In recent years, with increasing integration of typical sets of stochastic sources into power systems, such as the large-scale renewable power generation and electric vehicles, the influence of randomness on power system dynamics can no longer be neglected. For this reason, a research framework is proposed for stochastic dynamics of power system focusing on dynamic problems under the action of randomness, including stochastic dynamic modelling, stochastic dynamic responses, stochastic stability, stochastic dynamic security and stochastic optimum control of power system. Some suggestions are given for the research.

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鞠平,刘咏飞,薛禹胜,等.电力系统随机动力学研究展望[J].电力系统自动化,2017,41(1):1-8. DOI:10.7500/AEPS20160530011.
JU Ping, LIU Yongfei, XUE Yusheng,et al.Research Prospects for Stochastic Dynamics of Power System[J].Automation of Electric Power Systems,2017,41(1):1-8. DOI:10.7500/AEPS20160530011.

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历史
  • 收稿日期:2015-12-05
  • 最后修改日期:2016-11-17
  • 录用日期:2016-09-12
  • 在线发布日期: 2016-11-15
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