A Study of Integrated Model for Electricity Supply Chain Considering Renewable Energy Fraction and Demand Variation
DOI:
https://doi.org/10.14738/abr.111.13768Keywords:
Green Energy Coefficient (GEC), Electricity Supply Chain, Renewable EnergyAbstract
This paper aims to derive integrated model for electricity supply chain considering renewable energy fraction and demand variation. Currently, attention is being paid to increasing the ratio of renewable energy generation in the electric power market which called Green Energy Coefficient (GEC). This paper aims to derive an integrated model of electricity supply chain considering renewable energy fraction and demand variation using multi-agent reinforcement learning. The subjects of the models are the consumption market model, the electricity market model, and the production market model. Also, the pricing process in electricity supply chain is analyzed using the proposed multi-agent simulations.
References
Koie, Y., Yamamoto, H., and Yamaji, K. (2010): "Analysis of CO2 Emission Rights Market Using Multi-Agent Approach," Journal of Japan Society of Energy and Resources, vol. 32, No. 2
Yumiko Watanabe and Kenji Yamaji (2006): "Construction of a Long-Term Electricity Supply and Demand Model by Multi-Agent Reinforcement Learning," Master's thesis
Taki Kanetaka and Yukiyo Arai (2009): "A Q-learning model of U.S. electricity market trading strategy using multi-agent simulation", 9th MAS Competition
Kenji Inagaki and Kenji Yamaji (2004): "Analysis of Power Generators' Behavior in a Liberalized Electricity Market Using a Multi-Agent Model", Master's thesis, Department of Advanced Energy Engineering, Graduate School of Frontier Sciences, The University of Tokyo
Trends in Global Warming", Second Meeting of the Basic Policy Subcommittee, Advisory Committee on Natural Resources and Energy, Japan.
Electricity Market Development Office, Electricity and Gas Industry Department, Agency for Natural Resources and Energy, Ministry of Economy, Trade and Industry, "Electric Power System Reform.
Yuto Takahashi, Hideyuki Suzuki, Kazuyuki Aihara (2014): "Analysis of Electricity Market Pricing Methodology Considering Renewable Energy".
Toshiyuki Sawa (2007): "Characteristics and Trends of Power Exchanges
Taichi Mio (2020): "Construction of a Multi-Agent Q-Learning Model for Electricity Market Trading Strategies
Agency for Natural Resource and Energy, Ministry of Economy, Trade and Industry: https://www.enecho.meti.go.jp/category/electricity_and_gas/electric/electricity_liberalization/（5/5/2022）
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Copyright (c) 2023 Kosuke Takahashi
This work is licensed under a Creative Commons Attribution 4.0 International License.
