Suitability assessment of electricity market mechanisms for electric vehicle grid integration
| Autor: | Nicolas Fatras, Zheng Ma, Bo Nørregaard Jørgensen |
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| Rok vydání: | 2020 |
| Předmět: |
Upstream (petroleum industry)
Market integration Engineering business.product_category Electricity delivery business.industry 020209 energy Smart energy market 020208 electrical & electronic engineering Flexibility market mechanism 02 engineering and technology Environmental economics Grid Electrification Market ecosystem integration Distribution grid tariffication Electric vehicle 0202 electrical engineering electronic engineering information engineering Electricity market EV-grid integration Electricity business |
| Zdroj: | Fatras, N, Ma, Z & Jorgensen, B N 2020, Suitability assessment of electricity market mechanisms for electric vehicle grid integration . in 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020 ., 9230645, IEEE, IEEE International Conference on Power Systems Technology, vol. 2020, 2020 IEEE International Conference on Power Systems Technology, POWERCON 2020, Bangalore, India, 14/09/2020 . https://doi.org/10.1109/POWERCON48463.2020.9230645 |
| DOI: | 10.1109/powercon48463.2020.9230645 |
| Popis: | This paper proposes a set of criteria to assess the suitability of different market-oriented solutions for distribution grid congestion alleviation. The case of electric vehicles uptake is analyzed due to the particularly high predicted strain from transport electrification on existing network infrastructure. Solutions are assessed on the basis of plausibility and accuracy, while taking into account the physical, communication, information and business layers of the electricity network ecosystem, with Denmark taken as case study. The paper concludes with a call for more integrated modeling approaches, which consider the interactions of proposed solutions with other components of the electricity market. Particular emphasis is put on the importance of placing the market adequately upstream of real-time electricity delivery time, to reach a balance between low uncertainties and ease of market integration. |
| Databáze: | OpenAIRE |
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