宋梦;于继来;李碧君;徐泰山;

• 1:哈尔滨工业大学电气工程及自动化学院
• 2:国网电力科学研究院/国电南瑞科技股份有限公司

摘要(Abstract)：

高维模型表达(high dimensional model representation,HDMR)在描述系统输出量关于多输入量之间关系方面具有独特的性能,而电网潮流状态量与网络多个节点源流注入量间正好符合HDMR的相关属性。基于此,将HDMR应用于电网潮流概率评估与调控问题:通过典型代表性的样本构建关键支路上传输的功率与电源和负荷间的HDMR关系,并替换传统潮流计算方式承担潮流概率评估过程中大规模的潮流计算任务,以极大地提高关键支路潮流累积概率分布生成及其相关特征求取的效率;对关键支路潮流阻塞问题,设计了一种利用HDMR提供的全局灵敏度信息并兼顾节能减排性能指标的概率调控策略。算例表明,HDMR的应用可显著提高电网潮流概率评估的计算效率和关键支路潮流阻塞概率调控的性能。

关键词(KeyWords)： 电力网络;概率潮流;高维模型表达;评估;调控;阻塞;节能减排;灵敏度;Monte Carlo抽样

Abstract:

Keywords:

基金项目(Foundation): 国家高技术研究发展计划(863计划)重大项目(2011AA05A105);; 国家自然科学基金项目(51377035);; 国家电网公司科技创新重大专项(SGCC-MPLG-023-2012)~~

作者(Author): 宋梦;于继来;李碧君;徐泰山;

Email:

DOI: 10.13335/j.1000-3673.pst.2014.06.025

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