Operation of a multiagent system for microgrid control

By A. Dimeas, Nikos D. Hatziargyriou. IEEE Transactions on Power Systems, 2005

1,130 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4af24110bf58c84e9b3440ea0ff7f8e8b33bfdd6

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers (2017, methodology): “The third is multiple parties, such as a number of PV prosumers [10]–[12].”
A Multiagent-Based Consensus Algorithm for Distributed Coordinated Control of Distributed Generators in the Energy Internet (2015, background): “In [16], the participation of a multi-agent-system-based microgrid into the Energy Market is proposed.”
Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system (2011, background): “Distributed Control System It is very important that the integration of micro sources into the low voltage grids, and their relationship with other sources in the other microgrids as well as the medium voltage network upstream be done in a manner to optimize the operation of the system[7,9,24].”
Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation (2011, background): “(MAS), which is well addressed in [22] and [23].”
Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach (2017, background): “implemented among the sellers and buyers [6]–[9], or among only sellers while the buyers are assumed as passive consumers [10], [11].”
Trends in Microgrid Control (2014, methodology): “In [62], optimal operation is sought through the implementation of a market environment using a Multi-agent System (MAS), where the individual DER units are controlled by local agents that exchange information with a central controller to determine their buying and selling bids.”
MOD-DR: Microgrid optimal dispatch with demand response (2017, background): “Diverse approaches have been pursued based on linear programming (LP) [21], mixed integer linear programming (MILP) [22,10,23], dynamic programming [24,12,13], simulated annealing [3], artificial neural networks [25], particle swarm optimization [18], hybrid methods [26] and evolutionary algorithms ”
Distributed Control Techniques in Microgrids (2014, background): “2) Secondary Control: Secondary control, also known as central control [34], [35] or energy management system (EMS) [36], [37] is the unit in charge of ensuring power quality, mitigating long-term voltage and frequency deviations, and coordination of the individual DER units for their optimal operat”
A Centralized Energy Management System for Isolated Microgrids (2014, methodology): “Decentralized approaches have been primarily addressed in the technical literature by using the Multi-Agent Systems (MAS) framework [4]–[6].”