z-logo
open-access-imgOpen Access
Congestion Avoidance in Low-Voltage Networks by using the Advanced Metering Infrastructure
Author(s) -
Benoît Vinot,
Florent Cadoux,
Nicolas Gast
Publication year - 2019
Publication title -
acm sigmetrics performance evaluation review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.223
H-Index - 80
eISSN - 1557-9484
pISSN - 0163-5999
DOI - 10.1145/3308897.3308938
Subject(s) - metering mode , controller (irrigation) , photovoltaic system , low voltage , computer science , grid , voltage , distributed generation , net metering , engineering , electrical engineering , renewable energy , agronomy , geometry , biology , mechanical engineering , mathematics
Large-scale decentralized photovoltaic (PV) generators are currently being installed in many low-voltage distribution networks. Without grid reinforcements or production curtailment, they might create current and/or voltage issues. In this paper, we consider the use the advanced metering infrastructure (AMI) as the basis for PV generation control. We show that the advanced metering infrastructure may be used to infer some knowledge about the underlying network, and we show how this knowledge can be used by a simple feed-forward controller to curtail the solar production efficiently. By means of numerical simulations, we compare our proposed controller with two other controller structures: open-loop, and feed-back P(U) and Q(U). We demonstrate that our feed-forward controller - that requires no prior knowledge of the underlying electrical network - brings significant performance improvements as it can effectively suppress over-voltage and over-current while requiring low energy curtailment. This method can be implemented at low cost and require no specific information about the network on which it is deployed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom