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

Yerasyl Amanbek, Aidana Kalakova, Svetlana Zhakiyeva, Korhan Kayisli, Nurkhat Zhakiyev, Daniel Friedrich

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number2404
JournalEnergies
Volume15
Issue number7
Early online date25 Mar 2022
DOIs
Publication statusPublished - 1 Apr 2022

Keywords

  • Demand response
  • Distribution locational marginal price
  • Electricity markets
  • Microgrids
  • Multi-agent system
  • transactive energy
  • Renewable energy
  • renewable energy
  • electricity markets
  • distribution locational marginal price
  • microgrids multi-agent system
  • demand response

Fingerprint

Dive into the research topics of 'Distribution Locational Marginal Price Based Transactive Energy Management in Distribution Systems with Smart Prosumers—A Multi-Agent Approach'. Together they form a unique fingerprint.

Cite this