On the Impacts of Multi-Agent Transactive Energy in Distribution Networks - Part 1: GTSPF Construction and ETSim Integration Fernando Salinas-Herrera Facult´ e des Sciences et G´ enie Universit´ e Laval Qu´ ebec, Canada fernando.salinas@ieee.org Ali Moeini Power Systems Simulation and Evolution Hydro-Qu´ ebec Varennes, Canada moeini.ali@hydroquebec.com Fatima Amara Energy Technologies Laboratory (LTE) Hydro-Qu´ ebec Varennes, Canada amara.fatima@hydroquebec.com Juan Oviedo Energy Technologies Laboratory (LTE) Hydro-Qu´ ebec Varennes, Canada oviedocepeda.juancarlos@hydroquebec.com Innocent Kamwa Facult´ e des Sciences et G´ enie Universit´ e Laval Qu´ ebec, Canada innocent.kamwa@gel.ulaval.ca Abstract—To contribute the global ongoing energy transition by offering a new holistic approach to model and simulate local energy markets and its impacts in the network, a quasi- static Generic Time-Series Power Flow (GTSPF) is developed to be integrated in the innovative transactive energy ETSim platform. The GTSPF tool is designed in Python environment while utilizing OpenDSS as system solver. The primary objective of the integrated platform is to concentrate on the advancement and testing of decentralized and low-carbon electrical systems. Specifically, it aims to simulate transactional exchanges associated with electricity generation from distributed energy resources (DERs) and analyze the resulting impacts and advantages on the distribution network. This project plays a significant role in investigating methods to achieve dynamic energy exchanges that are customized to the requirements of participating agents, as well as market and technical conditions of the electricity grid. Keywords—transactive energy, co-simulation, optimization, smart systems, DERs modelling, distribution network I. I NTRODUCTION Since the adoption of deregulation in the nineties, power systems has been facing a new paradigm, through the in- troduction of competitive markets. Traditional wholesale and retail energy markets still prevail in conventional power sys- tem. However, the growing deployment of Distributed Energy Resources (DERs), electrification of transportation and heat sector, microgrids, smart buildings and equipment, or multi- energy systems (MES), along of advanced information tech- nology which in turn enables demand response; present both challenges and opportunities for modern power systems, which should be addressed, not only to improve system operation but to ensure system security and reliability. In such new This work was supported by the Mitacs Accelerate Program and by Hydro- Quebec, Opal-RT, Vizimax and the Canada Natural Sciences and Engineering Research Council through the Alliance project NSERC – ALLRP 567550 – 21. paradigm, transactive energy (TE) is being highly discussed as a promising opportunity in terms of balancing networks consumption and generation while avoiding or postponing network upgrades in traditional infrastructure and generation investments. The U.S. Department of Energy defines TE in the GridWise Transactive Energy Framework as ”A system of economic and control mechanisms that allows the dynamic balance of supply and demand across the entire electrical infrastructure using value as a key operational parameter” [1]. TE systems can be understood as a set of smart software agents (hierarchy organized) with different responsibilities such as to control DERs devices, aggregate or coordinate DERs from building to microgrid scales, or even manage the network to avoid system stress. Therefore, TE is a flexible and scalable ap- proach to design and implement efficient, reliable and flexible electrification systems from single building or home scales to entire regions [2]. Since its ability to manage interoperability, optimization and operation issues, they are claimed as a fun- damental framework for future power systems, enabling a vast range of business, regulatory, incentive and operational models to be explored. The general consensus in terms of privacy, scalability and efficiency, claim that TE systems have proved advantages over conventional smart grid coordination such as centralized optimization and price reactive systems [3]–[7]. TE systems aim to improve the efficiency, flexibility, and reliability of the network in the presence of DERs through the deployment of new decentralized control methods that will support the proactive participation of the various agents (consumers, prosumers, aggregators, operators, retailers, etc.) in the energy market [3]. 979-8-3503-3823-2/23/$31.00 ©2023 IEEE 2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM) | 979-8-3503-3823-2/23/$31.00 ©2023 IEEE | DOI: 10.1109/ETCM58927.2023.10309090 Authorized licensed use limited to: BIBLIOTHEQUE DE L'UNIVERSITE LAVAL. Downloaded on November 02,2024 at 23:26:37 UTC from IEEE Xplore. Restrictions apply.