Increasing Renewable Generation Feed-In Capacity Leveraging Smart Meters

Maurantonio Caprolu, Javier Hernandez Fernandez, Abdulrahman Alassi, Roberto Di Pietro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

The amount of energy that can be fed into a network is limited by the physical capacity of the components that form the grid and the load it serves. Electrical utilities use Hosting Capacity (HC) methodologies to analyze and calculate the level of generation that a network can accommodate. Currently, HC analyses are based on conservative static models with the objective of ensuring that technical limitations are not exceeded, hence curbing the optimal network capacity. Demand Response (DR) programs seek to optimize energy resources by lowering or deferring consumption. As a result, technical solutions have focused on reducing demand. These solutions are efficient when there is no local generation of energy, or to reduce individual consumption, but they hamper with feed-in programs. To solve the above introduced issues, in this paper we propose a system with the objective to maximize the limit of the HC of each customer while ensuring stability of the grid. Each customer is assigned a nominal HC value, calculated using the existing methodologies, but has the option of requesting a temporary increase in the feed-in limit. The utility provider will grant or reject the request based on the current conditions of the grid by utilizing the existing smart meter infrastructure and the energy-balancing metering at the transformer substation. The architecture supporting the cited objectives is detailed, a PoC rooted on real experiments is showed, and future directions are also highlighted. Finally, the achieved experimental results show the viability of our proposal.
Original languageEnglish (US)
Title of host publication2020 IEEE Green Energy and Smart Systems Conference, IGESSC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781728187440
DOIs
StatePublished - Nov 2 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-20

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