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Wide-area information based control and optimization of stressed and smarter power systems

Wide-area information based control and optimization of stressed and smarter power systems
基于广域信息的压力和智能电力系统控制和优化
批准号:
106451-2010
负责人:
Kamwa, Innocent
金额:
$3.13万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
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英文摘要
In a market-driven environment with unanticipated load flow patterns over wider geographic areas, network operators cannot rely on the old central planning approach with simplified model and static deterministic performance criteria. Instead, they turn to a wide-area information based approach, for assessing and managing the dynamic performance of an increasingly complex system without undue conservativeness. Optimizing the dynamic performance of bulk power systems is a demanding task, which requires (1) identification of accurate stability models of the system components; (2) performance assessment by predictive simulation and real-time monitoring of security boundaries; and (3) performance control using a coordinated hierarchy of local devices and overreaching special protection systems. Our research touches on all these areas with the aim of contributing to the emergence of smarter power grids operated closer to their limits to satisfy our reliability-sensitive digital society, while integrating new forms of sustainable energy (such as wind farms) without expansive non-ecological investments in new transmission facilities. The three proposed research paths are tied together by the broad goal of improving system performance using analytical concepts together with actual wide-area measurements: 1)On-line identification/monitoring techniques based on enhanced Phasor Measurement Units (PMU) incorporating generator dynamic state (rotor speed/angle); 2)Wide-area control schemes including, global stabilizing control using remote sensing and actuation, intelligent systems based stability controls able to adaptively adjust emergency protection to more accurate values, wide-area and agent-based defense plans intercommunicating with the energy management system to safely achieve a closer to limits operation. 3)On-line Dynamic Security and Venerability Assessment (DSVA) frameworks based on intelligent systems and wide-area measurements, that can respond effectively to fast changing conditions and stressing operations induced by market activity and intermittent generation.
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