Linear Programming Transportation Assignment Problem for Parametric Information-Decentralised Energy Market Model
By: Vadim Romanuke
References
- T. Miller, I. Durlik, E. Kostecka, P. Kozlovska, and A. Nowak, “Federated learning for decentralised electricity market optimization: A review and research agenda,” Energies, vol. 18, no. 17, Sep. 2025, Art. no. 4682. https://doi.org/10.3390/en18174682
- D. K. Winter, R. Khatri, and M. Schmidt, “Decentralised prosumercentric P2P electricity market coordination with grid security,” Energies, vol. 14, no. 15, Aug. 2021, Art. no. 4665. https://doi.org/10.3390/en14154665
- R. Faia, J. Soares, Z. Vale, and J. M. Corchado, “An optimization model for energy community costs minimization considering a local electricity market between prosumers and electric vehicles,” Electronics, vol. 10, no. 2, Jan. 2021, Art. no. 129. https://doi.org/10.3390/electronics10020129
- Z. Tanis, A. Durusu, and N. Altintas, “A comprehensive review on peer-to-peer energy trading: market structure, operational layers, energy cooperatives and multi -energy systems,” IET Renewable Power Generation, vol. 19, June 2025, Art. no. e70075. https://doi.org/10.1049/rpg2.70075
- H. Khazaei, H. Aghamohammadloo, M. Habibi, M. Mehdinejad, and A. Mohammadpour Shotorbani, “Novel decentralised peer-to-peer gas and electricity transaction market between prosumers and retailers considering integrated demand response programs,” Sustainability, vol. 15, no. 7, Apr. 2023, Art. no. 6165. https://doi.org/10.3390/su15076165
- T. Baroche, P. Pinson, R. L. G. Latimier, and H. B. Ahmed, “Exogenous cost allocation in peer-to-peer electricity markets,” IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2553–2564, Jan. 2019. https://doi.org/10.1109/TPWRS.2019.2896654
- T. Taniguchi, K. Kawasaki, Y. Fukui, T. Takata, and S. Yano, “Automated linear function submission-based double auction as bottom-up real-time pricing in a regional prosumers’ electricity network,” arXiv:1503.06408, Mar. 2015. https://doi.org/10.48550/arXiv.1503.06408
- M. Matsumoto and T. Nishimura, “Mersenne twister: a 623-dimensionally equidistributed uniform pseudorandom number generator,” ACM Transactions on Modeling and Computer Simulation, vol. 8, no. 1, pp. 3–30, 1998. https://doi.org/10.1145/272991.272995
- A. J. Conejo, M. Carrión, and J. M. Morales, Decision Making Under Uncertainty in Electricity Markets. Springer New York, NY, 2010. https://doi.org/10.1007/978-1-4419-7421-1
- D. Bienstock, M. Chertkov, and S. Harnett, “Chance-constrained optimal power flow: risk-aware network control under uncertainty,” SIAM Review, vol. 56, no. 3, pp. 461–495, 2014. https://doi.org/10.1137/130910312
- R. Ahuja, T. Magnanti, and J. Orlin, Network Flows: Theory, Algorithms, and Applications. Prentice Hall, 1993.
- F. C. Schweppe, M. C. Caramanis, R. D. Tabors, R. E. Bohn, Spot Pricing of Electricity. Springer New York, NY, 1988. https://doi.org/10.1007/978-1-4613-1683-1
- W. W. Hogan, “Contract networks for electric power transmission,” Journal of Regulatory Economics, vol. 4, pp. 211–242, Sep. 1992. https://doi.org/10.1007/BF00133621
- Y. Parag and B. Sovacool, “Electricity market design for the prosumer era,” Nature Energy, no. 1, Mar. 2016, Art. no. 16032. https://doi.org/10.1038/nenergy.2016.32
- W. Tushar, C. Yuen, T. K. Saha, T. Morstyn, A. C. Chapman, M. J. E. Alam, S. Hanif, and H. V. Poor, “Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges,” Applied Energy, vol. 282, Part A, Jan. 2021, Art. no. 116131. https://doi.org/10.1016/j.apenergy.2020.116131
- E. Mengelkamp, J. Gärttner, K. Rock, S. Kessler, L. Orsini, and C. Weinhardt, “Designing microgrid energy markets: A case study: The Brooklyn Microgrid,” Applied Energy, vol. 210, pp. 870–880, Jan. 2018. https://doi.org/10.1016/j.apenergy.2017.06.054
- T. Erseghe, “Distributed optimal power flow using ADMM,” IEEE Transactions on Power Systems, vol. 29, no. 5, pp. 2370–2380, Feb. 2014. https://doi.org/10.1109/TPWRS.2014.2306495
- L. Gkatzikis, I. Koutsopoulos, and T. Salonidis, “The role of aggregators in smart grid demand response markets,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 7, pp. 1247–1257, June 2013. https://doi.org/10.1109/JSAC.2013.130708
- R. Rajagopal, E. Bitar, P. Varaiya, and F. Wu, “Risk-limiting dispatch for integrating renewable power,” International Journal of Electrical Power & Energy Systems, vol. 44, no. 1, pp. 615–628, Jan. 2013. https://doi.org/10.1016/j.ijepes.2012.07.048
- Y. Wang, Z. Ningqing, and C. Xiong, “A short-term residential load forecasting model based on LSTM Recurrent Neural Network considering weather features,” Energies, vol. 14, no. 10, May 2021, Art. no. 2737. https://doi.org/10.3390/en14102737
- J. Ren, H. Gao, S. Wang, L. Zhao, Q. Kang, A. Ashan, Y. Sun, and G. Xiao, “Multi-agent reinforcement learning-based joint design of low-carbon P2P market and bidding strategy in microgrids,” arXiv:2604.02728, 2026. https://doi.org/10.48550/arXiv.2604.02728
- C. Hennig, M. Meila, F. Murtagh, and R. Rocci, Handbook of Cluster Analysis. New York, Chapman & Hall / CRC Press, 2016. https://doi.org/10.1201/b19706
- A. M. Ikotun, A. E. Ezugwu, L. Abualigah, B. Abuhaija, and J. Heming, “K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data,” Information Sciences, vol. 622, pp. 178–210, Apr. 2023. https://doi.org/10.1016/j.ins.2022.11.139
- D. Kirschen and G. Strbac, Fundamentals of Power System Economics. Wiley, 2004. https://doi.org/10.1002/0470020598
- P. Vergara Barrios, N. Lin, and J. Heres, GLASS Dataset: Generative-AI Large-customer Smart-meter Samples. TU Delft – 4TU.ResearchData, 4 Mar. 2026.https://doi.org/10.4121/B18DE4DF-0F67-4A6F-AA84-6634CDD63991
- Solstice Residential Energy (VPP) Pack (Sample). A high-fidelity synthetic dataset for residential energy transition and VPP operations. Solstice AI Studio, 2026. [Online}. Available: https://huggingface.co/datasets/solsticestudioai/residential-energy-vpp-pack-sample
- A. Izadi and M. Rastegar, “A stochastic iterative peer-to-peer energy market clearing in smart energy communities considering participation priorities of prosumers,” Sustainable Cities and Society, vol. 114, Nov. 2024, Art. no. 105728. https://doi.org/10.1016/j.scs.2024.105728
- C. Zhang, J. Wu, Y. Zhou, M. Cheng, and C. Long, “Peer-to-peer energy trading in a Microgrid,” Applied Energy, vol. 220, pp. 1–12, June 2018. https://doi.org/10.1016/j.apenergy.2018.03.010
Language: English
Page range: 74 - 82
Submitted on: Feb 12, 2026
Accepted on: May 5, 2026
Published on: May 29, 2026
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
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© 2026 Vadim Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.