Multiagent-based reinforcement learning for optimal reactive power dispatch

Y Xu, W Zhang, W Liu, F Ferrese - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper proposes a fully distributed multiagent-based reinforcement learning method for
optimal reactive power dispatch. According to the method, two agents communicate with …

Real-time model predictive control for shipboard power management using the IPA-SQP approach

H Park, J Sun, S Pekarek, P Stone… - … on Control Systems …, 2015 - ieeexplore.ieee.org
Shipboard integrated power systems, the key enablers of ship electrification, call for effective
power management control (PMC) to achieve optimal and reliable operation in dynamic …

A survey on fault detection, isolation, and reconfiguration methods in electric ship power systems

M Babaei, J Shi, S Abdelwahed - IEEE Access, 2018 - ieeexplore.ieee.org
One of the major challenges with electric shipboard power systems (SPS) is preserving the
survivability of the system under fault situations. Some minor faults in SPS can result in …

MACSimJX: A tool for enabling agent modelling with Simulink using JADE

CR Robinson, P Mendham, T Clarke - 2010 - rua.ua.es
MACSimJX provides the means for advanced modelling and development of multiagent
driven control systems. This is achieved by drawing together two modelling tools used …

Multiagent distributed power management of DC shipboard power systems for optimal fuel efficiency

Y Wang, S Mondal, K Satpathi, Y Xu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Medium-voltage dc power systems have been recognized as a promising electrical
architecture for marine vessels. Such shipboard power systems (SPSs) require advanced …

MPC-based power management in the shipboard power system

S Paran, TV Vu, T El Mezyani… - 2015 IEEE Electric Ship …, 2015 - ieeexplore.ieee.org
This paper represents the development of an intelligent control by applying model predictive
control to the power management of a DC-based ship system. In a shipboard power system …

Implementation of an intelligent reconfiguration algorithm for an electric ship's power system

P Mitra, GK Venayagamoorthy - IEEE Transactions on Industry …, 2011 - ieeexplore.ieee.org
In all-electric navy ships, severe damage or faults may occur during battle conditions. This
might even affect the generators, and as a result, critical loads might suffer from power …

A novel multi-agent approach to identify faults in line connected three-phase induction motors

RHC Palácios, IN da Silva, A Goedtel, WF Godoy - Applied Soft Computing, 2016 - Elsevier
Three-phase induction motors (TIMs) are the key elements of electromechanical energy
conversion in a variety of productive sectors. Identifying a defect in a running motor, before a …

Optimisation-based control for electrified vehicles: challenges and opportunities

J Sun - Journal of Control and Decision, 2015 - Taylor & Francis
Vehicle electrification is a trend that is transforming the transportation landscape.
Automobiles, trains, ships and aircrafts are all being electrified as they are being designed to …

Multi-agent-based optimal power scheduling of shipboard power systems

SZ Tajalli, A Kavousi-Fard, M Mardaneh - Sustainable Cities and Society, 2021 - Elsevier
This paper presents a multi-agent-based algorithm for optimal power scheduling of multi-
agent-based medium voltage direct current shipboard power systems of all-electric ships …