Paper Info
Title
Efficient and Risk-Aware Control of Electricity Distribution Grids
Abstract
This article presents an economic model predictive control (EMPC) algorithm for reducing losses and increasing the resilience of medium-voltage electricity distribution grids characterized by high penetration of renewable energy sources and possibly subject to natural or malicious adverse events. The proposed control system optimizes grid operations through network reconfiguration, control of distributed energy storage systems (ESSs), and on-load tap changers. The core of the EMPC algorithm is a nonconvex optimization problem integrating the ESSs dynamics, the topological and power technical constraints of the grid, and the modeling of the cascading effects of potential adverse events. An equivalent (i.e., having the same optimal solution) proxy of the nonconvex problem is proposed to make the solution more tractable. Simulations performed on a 16-bus test distribution network validate the proposed control strategy.
Year
DOI
Venue
2020
10.1109/JSYST.2020.2965633
IEEE Systems Journal
Keywords
DocType
Volume
Energy storage systems (ESSs),model predictive control (MPC),network reconfiguration,resilient control,smart grids
Journal
14
Issue
ISSN
Citations 
3
1932-8184
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Francesco Liberati16210.69
Alessandro Di Giorgio2447.39
Alessandro Giuseppi33610.37
Antonio Pietrabissa420424.26
Francesco Delli Priscoli518731.88