This study proposes a scalable method to assess agent-based control concepts and deployment systems for cyber-physical electrical distribution grids. The deployment system of an agent-based control concept is the syst...
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This study proposes a scalable method to assess agent-based control concepts and deployment systems for cyber-physical electrical distribution grids. The deployment system of an agent-based control concept is the system that executes the agents and their interactions in a real implementation. Due to the increasing number of controllable loads, generators, and storage systems installed in distribution grids, scalability of control concepts and deployment systems plays a key role. Hence, the assessment method for both has to be scalable itself. For this reason, the proposed method bases on DistAIX, an open-source scalable simulation tool for cyber-physical distribution grids designed for execution on distributed computing clusters. DistAIX is extended with an interface for coupling with the deployment system of the agent-based control approach. The performance of the proposed method is evaluated for an agent-based control concept called SwarmGrid-X and the deployment system cloneMAP. The results demonstrate the feasibility of the proposed method and exemplify the functionality and scalability of SwarmGrid-X and cloneMAP.
distributed systems are dynamic systems where software and hardware together deliver information processing services to allow modeling, interaction, reasoning, analysis and control of the external environment. The int...
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ISBN:
(纸本)9781467376921
distributed systems are dynamic systems where software and hardware together deliver information processing services to allow modeling, interaction, reasoning, analysis and control of the external environment. The intent of the distributed computation is to execute computational workflows using computing resources. The software contains the algorithms that specify the tasks while the hardware provides the required resources to execute the algorithms. The initial structure is defined by the association of software with hardware and the dynamic structure is defined by their temporal evolution. The meta-knowledge of the intent of the algorithm, the association of specific algorithm to a specific device, their temporal evolution and exception handling when the computation deviates from the intent is outside the software and hardware design and is expressed in nonfunctional requirements. In this paper, we describe an architecture to capture the meta-knowledge in meta-containers and enforce the intent of the computation while the computation is in progress.
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