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Local Energy Trading with EV Flexibility

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Automated and Electric Vehicle: Design, Informatics and Sustainability

Part of the book series: Recent Advancements in Connected Autonomous Vehicle Technologies ((RACAVT,volume 3))

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Abstract

The rapid development of electric vehicles (EVs) brings challenges and opportunities for electricity systems. EV flexibility, such as smart charging and vehicle-to-grid services, plays a crucial role in helping systems to integrate renewable generation, thus facilitating achieving Net-Zero carbon targets. Market measures are of great help to incorporate a sufficient level of flexibility for electricity system operation requirements. Specifically, demand-side flexibility (DSF) should be fairly rewarded when providing various services to the systems. EV flexibility trading effectively supports the integration of renewable energy resources (RERs) and uncertain demand. Local energy trading mechanisms with EV flexibility can help efficiently facilitate flexibility markets. This chapter classifies EV flexibility and investigates the potential values for the electricity system. The local market structures and trading mechanisms for enabling EV flexibility are introduced. An example demonstration shows that integrating EV flexibility in the local energy market allows for more efficient operation.

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Abbreviations

DSF:

Demand-side Flexibility

EV:

Electric Vehicle

P2P:

Peer-to-Peer

HEV:

Hybrid EV

FCEV:

Fuel Cell EV

PETCON:

P2P Electricity Trading System with Consortium Blockchain

PV:

Photovoltaic

DA:

Day-ahead

FIAD:

Flexibility Index of Aggregate Demand

PFL:

Percentage Flexibility Level

BEV:

Battery EV

PHEV:

Plug-in Hybrid EV

DSO:

Distribution System Operator

CCGT:

Combined Cycle Gas Turbine

WT:

Wind Turbine

MES:

Multi-Energy System

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Author information

Authors and Affiliations

  1. Department of Electronic and Electrical Engineering, Universiy of Bath, Bath, UK

    Shuang Cheng & Chenghong Gu

  2. Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

    Da Xie

Authors
  1. Shuang Cheng
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  2. Da Xie
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  3. Chenghong Gu
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Corresponding author

Correspondence to Chenghong Gu .

Editor information

Editors and Affiliations

  1. School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, China

    Yue Cao

  2. Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, Leicestershire, UK

    Yuanjian Zhang

  3. Department of Electronic & Electrical Engineering, University of Bath, Bath, UK

    Chenghong Gu

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Cheng, S., Xie, D., Gu, C. (2023). Local Energy Trading with EV Flexibility. In: Cao, Y., Zhang, Y., Gu, C. (eds) Automated and Electric Vehicle: Design, Informatics and Sustainability. Recent Advancements in Connected Autonomous Vehicle Technologies, vol 3. Springer, Singapore. https://doi.org/10.1007/978-981-19-5751-2_9

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