scholarly journals Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Stefanie Holly ◽  
Astrid Nieße ◽  
Martin Tröschel ◽  
Lasse Hammer ◽  
Christoph Franzius ◽  
...  
Keyword(s):  
Container Terminal ◽  
Automated Guided Vehicles ◽  
Use Case ◽  
Multi Agent System ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Multi Agent ◽  
And Control ◽  
Balancing Services ◽  
High Uncertainty

Abstract Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability.

scholarly journals The Virtual Power Plant for the Management and Control of Distributed Generation - Review

2019 ◽  
Vol 6 (6) ◽  
pp. 458-465
Author(s):  
Diego Laurindo de Souza ◽  
Mario Orlando Oliveira ◽  
Jorge Javier Gimenez Ledesma ◽  
Oswaldo Hideo Ando Junior
Keyword(s):  
Power Plant ◽  
Distributed Generation ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
And Control

Information Access and Control Operations in Multi-agent System Based Process Automation

2005 ◽  
pp. 144-153 ◽  
Author(s):  
Ilkka Seilonen ◽  
Teppo Pirttioja ◽  
Antti Pakonen ◽  
Pekka Appelqvist ◽  
Aarne Halme ◽  
...  
Keyword(s):  
Information Access ◽  
Multi Agent System ◽  
Process Automation ◽  
Agent System ◽  
Multi Agent ◽  
And Control

scholarly journals Nonlinear Attitude and Formation Estimation Spacecraft And Multi-Agent Systems

2021 ◽  
Author(s):  
Michael Rososhansky
Keyword(s):  
Particle Filter ◽  
Nonlinear Filtering ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Filtering Technique ◽  
Estimation And Control ◽  
And Control

This dissertation examines the state and parameter estimation problem of monolithic spacecraft and multi-agent systems in conjunction with the control algorithms. Nonlinear filtering techniques are investigated and applied to the problems of attitude estimation and control of monolithic spacecraft, distributed flltering for attitude estimation and control of satellite formation flying (SFF), and estimation and control of a multi-agent system in consensus tracking with uncertain dynamic model. The main objective is to investigate the performance of nonlinear filtering techniques under fault-free and fault-prone scenarios. In essence, the core of this research has been placed on identifying techniques to improve the efficiency and reduce the variance of estimations in nonlinear filtering. The research is primarily dedicated to the investigation of adaptive unscented Kalman Filter (AUKF) and particle Filter (PF). A nonlinear filtering technique has been proposed for sequential joint estimation of a multi-agent system in consensus tracking with uncertain dynamic model. The new filter is called marginalized unscented particle Filter (MUPF). The proposed filter uses the Rao-Blackwellised principle to couple the particle filtering technique with unscented transform algorithm

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