CrocodileAgent 2018: Robust Agent-based Mechanisms for Power Trading in Competitive Environments
Authored by Demijan Grgic, Hrvoje Vdovic, Jurica Babic, Vedran Podobnik
Date Published: 2019
DOI: 10.2298/csis181010040g
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Abstract
Besides the smart grid, future sustainable energy systems will have to
employ a smart market approach where consumers are able choose one of
many different energy providers. The Power Trading Agent Competition
(Power TAC) provides an open source, smart grid simulation platform
where brokers compete in power brokerage. This paper presents
CrocodileAgent, which competed in the Power TAC 2018 finals as a broker
agent. The main focus in the design and development of CrocodileAgent
2018 was the creation of smart time-of-use tariffs to reduce peak-demand
charges. CrocodileAgent 2018 was ranked third in Power TAC 2018 Finals,
with a positive final profit and a positive result in each of three game
types. In addition, CrocodileAgent 2018 had the highest percentage of
``profitable games{''} (91\%) from among all competing agents, the
second highest level of ``net profit per standard deviation{''} (0.48)
and the third highest ``net profit per subscriber{''} (79 monetary
units).
Tags
Agent-based modelling
Simulation
Computer simulation
Electricity trading
Tariff
design
Power tac
Crocodileagent