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机构地区:[1]中国电力科学研究院,北京市海淀区100192 [2]电力系统保护与动态安全监控教育部重点实验室(华北电力大学),北京市昌平区102206
出 处:《电网技术》2009年第12期35-41,共7页Power System Technology
基 金:国家自然科学基金项目(50607005);新世纪优秀人才支持计划(NCET-05-0216);长江学者和创新团队发展计划(IRT0515);高等学校学科创新引智计划资助(B08013)~~
摘 要:快速准确的识别扰动类型与位置对于实施及时有效的电力系统安全稳定控制至关重要,但目前稳定控制系统对扰动的感知范围依赖于子站测点的布置,因此扰动识别的准确性和冗余度不够。文中在对各种常见扰动机理详细分析的基础上,提出了一种基于广域同步测量系统的电力系统扰动识别与定位方法。该方法一方面选取扰动后的相量测量单元实测正序支路电流相量作为特征提取量;另一方面利用叠加原理,在扰动分量网络中求取支路电流的估计扰动分量,通过实测特征提取量和预设事件估计扰动分量之间的快速匹配(利用距离二范数),实现了对扰动类型和位置的快速有效识别,以改进稳定控制系统的故障场景识别和匹配。仿真结果表明,该方法可以对大多数扰动进行快速有效的识别和定位。It is extremely important to identify disturbance type and locate where it happens for timely and effective implementation of power system emergency control. However, as for current stability control system, its perception range of disturbance depends on the configuration of measuring points, thus the accuracy and redundancy of disturbance identification are not satisfied. On the basis of analyzing the mechanism of familiar disturbances in detail, a wide area measurement system (WAMS) based approach to identify and locate power system disturbances is proposed. On the one hand, the proposed method selects the PMU-measured disturbed positive sequence phasors of branch currents as characteristic variables, on the other hand, by use of superposition principle the estimated disturbing components in branch currents are solved in component network; by means of fast matching between measured characteristic variables and estimated disturbing components of presupposed event by distance 2-norms, the fast and effective identification of the type of disturbance and the position where it happens are implemented to improve the identification and matching of fault scenario of stability control system. Simulation results show that the proposed approach can identify and locate most of disturbances effectively and quickly.
分 类 号:TM712[电气工程—电力系统及自动化]
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