Abstract
Abstract This paper proposes a design method of distribution network micro PMU optimal layout scheme based on information entropy theory, realizes the optimal configuration of distribution network micro PMU, accurately reflects the operation status of distribution network, and ensures the smooth operation of power system. On the premise that the number of PMUs is the least and the distribution network is completely observable, the dynamic characteristics of uncertain nodes such as distributed generation in the distribution network and the existing traditional measurement equipment and measurement information are comprehensively considered, and the information entropy theory is used to measure and evaluate the uncertainty of the distribution network. The distribution network micro PMU distribution point set taking into account the network uncertainty is selected based on the information entropy evaluation method. In the round by round iterative solution, greedy algorithm is used to select the node with the lowest distribution network uncertainty from the existing network nodes in each round as the installation node of the distribution network micro PMU, and obtain the installation node set of the micro PMU, so as to complete the design of the distribution network micro PMU optimal layout scheme. The experiment shows that the optimal distribution network micro PMU layout scheme designed by this method can effectively realize the optimal configuration of PMU, and can realize the full observability of the distribution network with a small number of PMU configurations.
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: International Journal of Emerging Electric Power Systems
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.
