Abstract

With the high penetration of distributed renewable resources, local energy trading makes it possible to trade energy from local renewable sources, such as small-scale photovoltaics panels and wind turbines. In this paper, a novel Hotelling Game based local energy trading is proposed in this paper to determine the optimal strategies of the minimum total costs. Both network cost of transportation and energy cost of generation are considered in the trading decision-making. The network cost is determined based on the MW-Mile method to reflect the usage of the network in energy trading. The local trading is modelled as a Hotelling Game and the optimal trading strategies can be obtained for the customer to minimize their energy bill. The proposed energy trading method is demonstrated on a representative system to illustrate the significance of network cost in the local trading scenario.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 3rd International Electrical and Energy Conference, CIEEC 2019
PublisherIEEE
Pages246-251
Number of pages6
ISBN (Electronic)9781728116754
DOIs
Publication statusPublished - 27 Apr 2020
Event3rd IEEE International Electrical and Energy Conference, CIEEC 2019 - Beijing, China
Duration: 7 Sep 20199 Sep 2019

Publication series

NameProceedings of 2019 IEEE 3rd International Electrical and Energy Conference, CIEEC 2019

Conference

Conference3rd IEEE International Electrical and Energy Conference, CIEEC 2019
CountryChina
CityBeijing
Period7/09/199/09/19

Keywords

  • Hotelling game
  • local energy market
  • local energy trading
  • network cost

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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