AUTHOR=Mujahid Kamran , Altamimi Abdullah , Kazmi Syed Ali Abbas , Khan Zafar A. , Alharbi Bader , Alafnan Hamoud , Alshehry Halemah , Mir Aneeque A. 

TITLE=An intelligent multi-layer, multi-agent MMG framework with amelioration of energy efficiency and future investment outlook, under the deregulated day-ahead and real-time market regime

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1348458

DOI=10.3389/fenrg.2024.1348458

ISSN=2296-598X

ABSTRACT=This paper develops an intelligent multi-agent system (MAS) with the multi-layer framework for multi-microgrid (MMG) utilizing robust and modern communication patterns for deployed agents to achieve distributed tasks. The MMG paradigm introduces three micro-grids (MGs) based on the type of load, working environment, and living habitat; Residential, Commercial, and Industrial. In addition, a day-ahead and Real-time model is proposed for day-ahead and realtime signals. Intelligent agents in the multi-layer MAS framework make smart decisions based on multiple algorithms to optimize schedule power and minimize cost, considering demand dispatch and demand response as core components. Maximum renewable utilization aims to increase user comfort and reduce GHG emissions. Load agents deployed in each MG ensure maximum efficiency. The proposed framework recommends various tariff rates and tariff adjustment strategies to promote and offers an economic evaluation across the respective indices. To minimize the monopoly of the energy market, an efficient energy market model is developed for the proposed MMG paradigm to maximize the competition by incorporating future and spot market trading schemes for day-ahead and real-time signals. The comparative analysis indicates optimized results based upon cost-benefit analysis, cost reduction, power transaction in market and maximum utilization of RER.