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Distribution Locational Marginal Price Based Transactive Energy Management in Distribution Systems with Smart Prosumers—A Multi-Agent Approach

Author

Listed:
  • Yerasyl Amanbek

    (Department of Science and Innovation, Astana IT University, Nur-Sultan 010000, Kazakhstan)

  • Aidana Kalakova

    (Department of Science and Innovation, Astana IT University, Nur-Sultan 010000, Kazakhstan)

  • Svetlana Zhakiyeva

    (Department of Mathematical and Computer Modeling, L.N. Gumilyov Eurasian National University, Nur-Sultan 010008, Kazakhstan)

  • Korhan Kayisli

    (Department of Electrical-Electronic Engineering, Engineering Faculty, Gazi University, Ankara 06570, Turkey)

  • Nurkhat Zhakiyev

    (Department of Science and Innovation, Astana IT University, Nur-Sultan 010000, Kazakhstan
    Department of Electrical-Electronic Engineering, Engineering Faculty, Gazi University, Ankara 06570, Turkey)

  • Daniel Friedrich

    (School of Engineering, The University of Edinburgh, Edinburgh EH9 3FB, UK)

Abstract

This work proposes a distribution locational marginal price (DLMP)-based transactive energy (TE) framework for distribution systems with enthusiastic or smart prosumers. The framework uses a multi-agent system (MAS) as the basis on which the proposed TE model, i.e., distribution locational marginal price (DLMP) based TE management system (DTEMS), is implemented. DTEMS uses a novel metric known as the nodal earning component, which is determined by the optimal power flow (OPF) based smart auction mechanism, to schedule the TE transactions optimally among the stakeholders by alleviating the congestion in the distribution system. Based on the individual contributions to the congestion relief, DTEMS ranks the prosumers and loads as most valuable players (MVP) and assigns the energy trading price according to the category of the player. The effectiveness of the proposed TE model is verified by simulating the proposed DTEMS for a modified 33 bus radial distribution system fed with various plug-able energy resources, prosumers, and microgrids.

Suggested Citation

  • Yerasyl Amanbek & Aidana Kalakova & Svetlana Zhakiyeva & Korhan Kayisli & Nurkhat Zhakiyev & Daniel Friedrich, 2022. "Distribution Locational Marginal Price Based Transactive Energy Management in Distribution Systems with Smart Prosumers—A Multi-Agent Approach," Energies, MDPI, vol. 15(7), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2404-:d:779134
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    References listed on IDEAS

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    4. Prinsloo, Gerro & Dobson, Robert & Mammoli, Andrea, 2018. "Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles," Energy, Elsevier, vol. 147(C), pages 263-278.
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    Cited by:

    1. Xian Huang & Zhehan Li, 2023. "A Comparative Analysis of Two Pricing Mechanisms, MCP and PAB, in the Chinese Frequency Regulation Market," Energies, MDPI, vol. 16(6), pages 1-23, March.
    2. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

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