Abstract
In this paper we present a decentralized state estimation method to support real-time Volt/Var optimization in distribution network with high penetration of distributed generation. The network is divided into sub-areas according to the location of the generation units and the mutual information (MI) between the states of interest and the available measurements. The proposed decentralized state estimation scheme only relies on local information and on a limited amount of information from neighboring areas. In each area, an artificial neural network (ANN) is used to estimate the loads consumptions. The proposed approach is tested using a modified IEEE 34-node test feeder. The effectiveness of the method is validated on a Hardware-In-the-Loop (HIL) simulation platform. To evaluate the accuracy and efficiency of the proposed decentralized approach we compared the results obtained to a centralized and a totally local approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Instrumentation and Measurement
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
