Event-Triggered State Estimation for Distribution Systems with SCADA and Smart Meter Data

Accurate and timely state estimation plays an essential role in distribution systems. However, online distribution system state estimation (DSSE) calls for high measurement redundancy and communication resources. This paper is concerned with the SE problem for distribution systems with asynchronous measurements and limited communication resources. To alleviate the communication burden with the expansion of smart meter installation, a special open-loop event-triggered mechanism is designed for reducing unnecessary data transmission. And an event-triggered SE framework is tailored for distribution systems with asynchronous measurements, allowing for obtaining reliable state information at any desirable time. In the proposed SE framework, a robust linear estimator is provided for distribution systems with synchronous SCADA and smart meter data, in order to avoid the computation burden caused by the nonlinear measurement functions. Moreover, an l
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-regularized least square-based SE is proposed for distribution systems with only SCADA measurements, where previous state information is used to avoid the under-determined problem. Finally, the effectiveness of the proposed event-triggered SE is demonstrated using a sample 33-node distribution system.