4.7 Article

A Fully Decentralized Hierarchical Transactive Energy Framework for Charging EVs With Local DERs in Power Distribution Systems

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TTE.2022.3168979

Keywords

Peer-to-peer computing; Electric vehicle charging; Biological system modeling; Real-time systems; Transactive energy; Power markets; Power distribution; Alternating direction method of multipliers (ADMMs); distributed energy resource (DER); electric vehicle (EV); power distribution system; transactive energy (TE)

Funding

  1. Interdisciplinary Seed Funding from the Digital Grid Futures Institute (DGFI), University of New South Wales at Sydney (UNSW Sydney), Sydney, NSW, Australia [PS62035-DGSF]
  2. Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China [MPSS2021-07]

Ask authors/readers for more resources

This article proposes a hierarchical transactive energy framework to locally induce and coordinate EV charging demand and DER generation in electric distribution networks. Two fully decentralized peer-to-peer trading models are presented, incorporating AC power network constraints into P2P electricity trading. The proposed framework mitigates operational challenges of distribution systems and benefits EV owners and DER investors through secure local energy transactions.
The penetration rates of both electric vehicles (EVs) and distributed energy resources (DERs) have been increasing rapidly as appealing options to address the global problems of carbon emissions and fuel supply issues. However, uncoordinated EV charging activities and DER generation result in operational challenges for power distribution systems. Therefore, this article has developed a hierarchical transactive energy (TE) framework to locally induce and coordinate EV charging demand and DER generation in electric distribution networks. Based on a modified version of the alternating direction method of multipliers (ADMMs), two fully decentralized (DEC) peer-to-peer (P2P) trading models are presented, that is, an hour-ahead market and a 5-min-ahead real-time market. Compared to existing P2P electricity markets, this research represents the first attempt to comprehensively incorporate alternating current (ac) power network constraints into P2P electricity trading. The proposed TE framework not only contributes to mitigating operational challenges of distribution systems, but also benefits both EV owners and DER investors through secured local energy transactions. The privacy of market participants is well preserved since the bid data of each participant are not exposed to others. Comprehensive simulations based on the IEEE 33-node distribution system are conducted to demonstrate the feasibility and effectiveness of the proposed method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available