Back to Search Start Over

Wireless AMI planning for guaranteed observability of medium voltage distribution grid.

Authors :
Zhang, Jialun
Peng, Jimmy Chih-Hsien
Hug, Gabriela
Source :
Applied Energy. Sep2024, Vol. 370, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Due to the scarcity of measurement devices, distribution systems often suffer from unobservability. The recent expansion of smart meters (SMs) provides the means to enable system observability. To ensure continuous situational awareness of distribution grids, strategic planning of advanced metering infrastructure (AMI) is crucial. However, conventional AMI planning approaches only consider the economically optimal placement of communication devices without considering the need for observability even in case of failures. To address this challenge, this paper proposes a wireless AMI network planning framework that guarantees the observability of distribution grids in the face of potential communication failures. Specifically, given the failure scenario, a closed-form observability criterion is formulated and its observability fortification strategy is derived, based on which the AMI network planning problem is formulated as an integer linear programming (ILP) problem. In addition, a heuristic decomposition technique is applied to the ILP problem in order to address the scalability issues of large-size networks. Finally, case studies demonstrate the robustness and effectiveness of the proposed AMI system planning framework. The findings of this work assist distribution utilities in developing a reliable and economical AMI, while providing guaranteed situational awareness of their assets. • A wireless AMI network planning framework to ensure observability of distribution grids against communication failures. • A closed-form observability criterion is formulated to assist the fortification strategy. • The fortification strategy provides communication routes with flexible redundancy. • A heuristic decomposition technique is proposed to address scalability issues of large networks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03062619
Volume :
370
Database :
Academic Search Index
Journal :
Applied Energy
Publication Type :
Academic Journal
Accession number :
177906122
Full Text :
https://doi.org/10.1016/j.apenergy.2024.123598