This article comprehensively reviews strategies for optimal microgrid planning, focusing on integrating renewable energy sources. The study explores heuristic, mathematical, and hybrid
Market transactions increase the complexity of energy interactions between MGs in the VPP and generate a significant amount of associated data, thereby imposing higher demands on the
The digital certification of electricity assets is replaced by the sequence number with specific tags in the transaction script, and the size of digital certification can be adjusted according to
Based on the assumption that the microgrid adopts the grid-connected mode, this study proposes a bi-level robust optimization framework for interconnected system coordination to address
In this study, a hybrid game-based P2P energy management method is proposed, and a comparative analysis of electricity transactions is conducted in a multi-microgrid with diverse building
Abstract Resilience, efficiency, sustainability, flexibility, security, and reliability are key drivers for microgrid developments. These factors motivate the need for integrated models and tools
This article proposes an innovative Online Learning (OL) algorithm designed for efficient microgrid energy management, integrating Recurrent Neural Networks (RNNs), and Model Predictive
This advancement arises from the shift in the DR electricity price, moving from a variable independent of microgrid (MG) configuration to a dynamic value linked to the disparity between
This paper proposes an integrated framework to improve microgrid energy management through the integration of renewable energy sources, electric vehicles, and adaptive demand
This paper aims to solve the minimum annual electricity bill problem of a campus microgrid with distributed generation and a battery energy storage system via the proposed optimal hybrid
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