Carbon optimized virtual power plant with electric vehicles

Skarvelis-Kazakos, Spyros, Papadopoulos, Panagiotis, Grau, Iñaki, Gerber, Annelies, Cipcigan, Liana M, Jenkins, Nick and Carradore, Loredana (2010) Carbon optimized virtual power plant with electric vehicles. In: Universities Power Engineering Conference (UPEC), 2010 45th International, 31 August - 3 September 2010, Cardiff.

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Abstract

This paper describes a Virtual Power Plant, containing aggregated micro-generation sources and Electric Vehicles as mobile loads. A UK generic distribution network is used to build a VPP comprising several micro-grids. EV and micro-generation penetration levels are projected for the year 2030, based on previous studies. A multi time period optimization is performed to minimise carbon emissions and the results are compared with the scenario lacking microgeneration. Aspects that are taken into account include the additional cold start micro-CHP emissions, as well as the heat demand and storage. The sensitivity to daily UK grid mix emission factor variation is also investigated. The final outcome is daily generation profiles for each of the micro- generators and the total emissions necessary to serve customer load in the VPP area. Emission factors are then derived for consumer electricity (gCO2/kWh) and the EVs (gCO2/km) for the year 2030.

Item Type: Conference or Workshop Item (Paper)
Keywords: cogeneration;distributed power generation;electric vehicles;optimisation;UK generic distribution network;carbon emission;carbon optimized virtual power plant;electric vehicle;microCHP emission;microgeneration source;microgenerator;optimization;Carbon dioxide;Electric vehicles;Electricity;Generators;Heating;Optimization;Power systems;carbon emissions;electric vehicle;environmental dispatch;micro-generation;virtual power plant
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Related URLs:
Depositing User: Spyros Skarvelis-Kazakos
Date Deposited: 27 Aug 2015 13:34
Last Modified: 27 Aug 2015 13:34
URI: http://sro.sussex.ac.uk/id/eprint/56293
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