Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges

By S. Mcarthur, E. Davidson, V. Catterson, A. Dimeas, Nikos D. Hatziargyriou, F. Ponci, Toshihisa Funabashi. IEEE Transactions on Power Systems, 2007

1,108 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9e8b60b42e65dd55e034a6d0dc1e90e220d8abc0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. C. Long
2. Jianzhong Wu
3. Yue Zhou
4. Hak-Man Kim
5. van-Hai Bui
6. Akhtar Hussain
7. Thomas Morstyn
8. Carlo Cecati

In Management Science and Operations Research

1. Paulo Leitão
2. Pierluigi Siano
3. Thomas Morstyn

Citations in the corpus

• Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids (2013, background): “MAS applications to power engineering problems are detailed in [10].”
• Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework (2018, methodology): “MAS is considered suitable for conducting modelling and simulation tasks with flexible and extensible architecture in power engineering, as identified by the Multi-Agent Systems Working Group of IEEE Power and Energy Society [31].”
• Control Techniques in AC, DC, and Hybrid AC–DC Microgrid: A Review (2018, background): “two or more agents, with its intelligence being characterized by its reaction to the environment, pro-activeness (goal-oriented action), and social ability (communication between agents) [59].”
• A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems (2015, background): “A brief overview of the most important functions and services is given by the following list [11], [21]–[23].”
• A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response (2018, background): “The power engineering applications where MAS is required, have been analyzed along with the technical issues and research challenges by [11]–[13] and a study on developing an MAS standard for ensuring interoperability between agents of different designers has been carried out by [14] and [15].”
• Distributed Control Techniques in Microgrids (2014, background): “MAS can be applied to power systems in such areas as monitoring, control, modeling and simulation, and protection [58].”
• Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, methodology): “A distributed multi-agent control strategy is a natural extension of this transition, utilising localised processing and communications infrastructure to extend the benefits of a distributed system to the communication/control layer [22].”