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Decentralized control architecture for multi-authoring microgrids
A prosumer is a consumer who uses tiny, renewable electricity generation units and, in addition to consumption, can also generate electricity. With...
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Framework for dimensioning battery energy storage systems with applied multi-tasking strategies in microgrids
The shifting from the traditional centralized electric sector to a distributed and renewable system presents some challenges. Battery energy storage...
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Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm
The concept of interconnected multi-microgrids (MMGs) is presented as a promising solution for the improvement in the operation, control, and...
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Demand response management of smart grid based on Stackelberg-evolutionary joint game
We investigated the real-time pricing demand response management system of multiple microgrids and multiple power users. Accordingly, we have...
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A Stackelberg game approach for demand response management of multi-microgrids with overlap** sales areas
Microgrids are increasingly participating directly in the electricity market as sellers in order to fulfill the power demand in specific regions. In...
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Energy Management for Zones-Based Isolated DC Multi-microgrids
In this paper, zones based distributed energy management for isolated multi-microgrids is proposed. Loads are categorized into different zones to...
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A two-stage energy management framework for optimal scheduling of multi-microgrids with generation and demand forecasting
With the increasing impact of renewable energy sources in distribution power systems, the short-term scheduling of microgrids is facing many...
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Multi-agent system for microgrids: design, optimization and performance
Smart grids are considered a promising alternative to the existing power grid, combining intelligent energy management with green power generation....
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Application of Chain P Systems with Promoters in Power Coordinated Control of Multi-microgrid
In view of the mobile energy storage characteristic and random dispersion of electric vehicles, the coordination and optimization of electric...
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Power flow adjustment for smart microgrid based on edge computing and multi-agent deep reinforcement learning
In current power grids, a massive amount of power equipment raises various emerging requirements, e.g., data perception, information transmission,...
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A Dynamic Data-Driven Optimization Framework for Demand Side Management in Microgrids
The efficient utilization of distributed generation resources (DGs) and demand side management (DSM) in large-scale power systems play a crucial role...
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Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem
Microgrids with energy storage systems and distributed renewable energy sources play a crucial role in reducing the consumption from traditional...
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Application of fuzzy spiking neural dP systems in energy coordinated control of multi-microgrid
To achieve carbon peaking and carbon neutrality goals, the research on technologies related to the grid connection of high proportion renewable...
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Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification
With the growing share of renewable energy sources, the uncertainty in power supply is increasing. In addition to the inherent fluctuations in the...
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An Improved Reinforcement Learning for Security-Constrained Economic Dispatch of Battery Energy Storage in Microgrids
Battery energy storage systems are widely used in microgrids integrated with volatile energy resources for their ability in peak load shifting....
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Enhancing DC microgrid performance with fuzzy logic control for hybrid energy storage system
Improving direct current microgrid (DC-MG) performance is achieved through the implementation in conjunction with a hybrid energy storage system...
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High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues
Recent advances in distribution networks, driven by the integration of renewable energy sources, have spurred the emergence of microgrids, elevating...
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Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources
The integration of renewable energy sources (RESs) has become more attractive to provide electricity to rural and remote areas, which increases the...
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Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data
Power system operation increasingly relies on numerous day-ahead forecasts of local, disaggregated loads such as single buildings, microgrids and...
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DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks
The technologies vested by the introduction of fifth generation (5G) networks as well as the emerging 6G systems present opportunities for enhanced...