Modelling Future Prosumer Nodes and their Impact on Network Planning - a Case Study
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Conference article in proceedings
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Date
2022-12-19
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Language
en
Pages
7
Series
2022 IEEE 63rd Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Proceedings
Abstract
This paper presents a pair of reasonably likely scenarios for low voltage (LV) electricity consumption and distributed generation and investigates how these scenarios will impact a realistic approximation of an existing section of LV network generated by a distribution network-planning algorithm using falsified but realistic existing load data. Some simplifying assumptions are made due to the difficulty of modelling the consumption of individual customers, but general methodology is set up and illustrated that will suit a more fine-grained analysis as data becomes available. The scenario loading uses simulated consumption time series data for two heating scenarios: EV consumption using uncontrolled and sensible charging scenarios, and photovoltaic rooftop generation time series data from earlier research at Aalto University. The results clearly illustrate that smart EV charging can alleviate the need for network reinforcements but the network upgrade costs imposed by the most pessimistic uncontrolled EV charging are also quantified.Description
Publisher Copyright: © 2022 IEEE.
Keywords
Distributed Generation, EV charging, Expansion Planning, Load scenarios
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Citation
Segui , M P , Millar , R J & Auyanet , M A A 2022 , Modelling Future Prosumer Nodes and their Impact on Network Planning - a Case Study . in 2022 IEEE 63rd Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Proceedings . 2022 IEEE 63rd Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Proceedings , IEEE , International Scientific Conference on Power and Electrical Engineering of Riga Technical University , Riga , Latvia , 10/10/2022 . https://doi.org/10.1109/RTUCON56726.2022.9978904
