EV CHARGING QOS AND POWER SYSTEM ROBUSTNESS THROUGH ICT - - PowerPoint PPT Presentation

EV CHARGING QOS AND POWER SYSTEM ROBUSTNESS THROUGH ICT APPLICATIONS; NEMO’S APPROACH

Theodoros Theodoropoulos Researcher ICCS

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CHALLENGES FOR NEMO (E-MOBILITY)?

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Limitation in Electric Vehicle range lack of interoperability in electromobility services Impact to the Electric grid network Diverse eRoamingplatforms Lack of common data exchange and commercial framework

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STRATEGY

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eRoaming Hub #1

(Shared distributed Database / Ledger) Business Network (B2B)

End-user CPO #A DSO #A EMP #1 ITSP #A ITSP #B EMP CPO CPO DSO

Distributed, decentralized, Secured

Hyper-Network of tools, models and services, to enable the provision of seamless and interoperable electromobility services creating an open, distributed and widely accepted ecosystem for e-mobility

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OBJECTIVES

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• Enhanced driver satisfaction: “Charge anywhere & anytime” across

Europe via a single identification, authorisation & payment method

• Easy creation and delivery to a wide audience of innovative,

interoperable electromobility services via an open cloud marketplace  Improved attractiveness of electric vehicles  Facilitation of EVs mass adoption

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OBJECTIVES

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, to support the EVs integration in the electricity grid, by optimisation of electricity supply compared to demand.

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ARCHITECTURE

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Standardised model for information sharing across the NeMo Hyper-Network Implementation of the CIM

• New services will generate and exchange data according to the CIM
• Data translators will enable the translation of data to the NeMo CIM

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ARCHITECTURE

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eRoaming Hub #2 eRoaming Hub #1

CPO #2 ITSP EMP EMP EMP CPO CPO DSO EMP EMP CPO CPO DSO CPO

NeMo Business Network

Shared distributed Database / Ledger: 1.Partner Management 2.Services Store 3.Contract Management

3rd Party Service Provider Electro Mobility (service) Provider EMP Charge Point Operator CPO

Trustee Service Provider OEM #2 CPO #1

CIM

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NEMO NODE CLOSEUP

• Servive lookup-Service creation-Service execution

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GRID SERVICES

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Navigation to CP based on user and grid power requirements Vehicles are routed to the appropriate charging point, according to vehicle and grid quality of service criteria Global customer charging behavior Profiling of end user charging behavior in order to enable demand forecasting Load management Ensure quality of service of charging operations according to user requirements and grid constraints Load forecasting due to EV charging anticipated load information to the DSO for energy generation planning and energy pricing Local energy management Include local energy providers to the energy mix provided by charging operations

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GRID SERVICES

• Load management

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THANK YOU QUESTIONS?

Theodoros Theodoropoulos Researcher ICCS t.theodoropoulos@iccs.gr

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