Abstract
A distributed power system consisting of multiple subsystems with individual state estimators needs to be globallymonitored using a system-wide state estimation function. To solve this problem, researchers have used several methods which can be categorized into three approaches: integrated state estimation, parallel state estimation and distributed state estimation. In literature, these methods are often separately applied and their temporary failures or states of poor quality can degrade the global state estimation.We propose a fusion method being able to combine different state estimation solutions in order to obtain a more reliable and accurate system-wide state estimation.
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