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首页> 外文会议>9th IET International Conference on Advances in Power System Control, Operation and Management >Event-Triggered State Estimation for variable energy resources management
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Event-Triggered State Estimation for variable energy resources management

机译：事件触发的状态估计用于可变能源管理

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In recent years, the power generation portfolio has expanded to include variable energy resources (VERs) such as wind and solar generation to meet increasing energy demand and environmental objectives. These sources inject uncertain amounts of power at time scales faster and generally dissimilar to that previously found in typical load profiles. As a result, in order to keep the balance of load and generation, the state of all power system buses becomes highly variable. Conventional measurement and state estimation (SE) techniques under these conditions may introduce errors which may impede the acquisition of an accurate picture of the system state. This paper considers an Event Triggered State Estimation (ETSE) for power networks incorporating VER. The proposed framework represents an improvement over Classical State Estimation (CSE) as it captures the variability associated with the VER while maintaining a high fidelity of the power network states. The effectiveness of the ETSE is demonstrated as compared to existing CSE on a
机译：近年来，发电产品组合已经扩展到包括可变能源（VERs），例如风能和太阳能发电，以满足不断增长的能源需求和环境目标。这些源在时间尺度上注入不确定量的功率更快，并且通常与以前在典型负载曲线中发现的功率不同。结果，为了保持负载和发电的平衡，所有电力系统总线的状态变得高度可变。在这些条件下，常规的测量和状态估计（SE）技术可能会引入错误，可能会妨碍获取系统状态的准确图片。本文考虑了采用VER的电力网络的事件触发状态估计（ETSE）。所提出的框架代表了对经典状态估计（CSE）的改进，因为它捕获了与VER相关的可变性，同时保持了电网状态的高保真度。与现有的CSE相比，ETSE的有效性得到了证明。

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