A Multi-Agent System-Based Intelligent Heuristic Optimal Control System for A Large-Scale Power Plant

2006 ◽  
Author(s):  
J.S. Heo ◽  
K.Y. Lee
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Power Plant ◽  
Large Scale ◽  
Multi Agent System ◽  
Agent System ◽  
Optimal Control System ◽  
Multi Agent

scholarly journals Optimal Control of a Swarming Multi-agent System through Guidance of a Leader-Agent

2019 ◽  
Vol 52 (20) ◽  
pp. 1-6 ◽  
Author(s):  
Ertug Olcay ◽  
Katharina Gabrich ◽  
Boris Lohmann
Keyword(s):  
Optimal Control ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

scholarly journals Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2992
Author(s):  
Niharika Singh ◽  
Irraivan Elamvazuthi ◽  
Perumal Nallagownden ◽  
Gobbi Ramasamy ◽  
Ajay Jangra
Keyword(s):  
Large Scale ◽  
Network Performance ◽  
Performance Metrics ◽  
Network Reliability ◽  
Operating Conditions ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Based ◽  
Multi Agent ◽  
System Operating

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditions. In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. Network performance is analyzed for the small, medium and large scale microgrid using Institute of Electrical and Electronics Engineers (IEEE) test systems. In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellman–Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. From this model, up to 35%–43.3% improvement was achieved in the network delay performance based on the Constant Bit Rate (CBR) traffic model for microgrids.

scholarly journals Multi-Agent System Supporting Automated Large-Scale Photometric Computations

Entropy ◽  
2016 ◽  
Vol 18 (3) ◽  
pp. 76 ◽  
Author(s):  
Adam Sȩdziwy ◽  
Leszek Kotulski
Keyword(s):  
Large Scale ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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