An observability index for distribution networks using information entropy

Information about the accuracy of state estimation results in distribution networks is crucial for an effective and safe network management. This paper explores a new method of quantifying the uncertainty of a state estimation result by using information entropy as an index for observability. This index has the ability to represent the network observability as a single continuous number, making it possible for the network operator to objectively evaluate the reliability of a state estimation result. This paper also investigates the changes in observability due to load variations and demonstrates how an optimal meter placement method based on the proposed observability index can be implemented. The proposed method has been tested via simulations on a modified IEEE 34 Bus Test Feeder and was compared with an existing method.