Numerical simulation has become essential tool of the design process and is widely used for the validation and evaluation of smart grid solutions and applications. However, domain specific tools are able to model a sy...
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ISBN:
(纸本)9781509012398
Numerical simulation has become essential tool of the design process and is widely used for the validation and evaluation of smart grid solutions and applications. However, domain specific tools are able to model a system only for a particular domain i.e., electric power system tool can model only power systems and for a intelligent control it has no provision to design AI based decision making algorithms, which can be developed in Multi-agent System tool. Thus for in-depth realistic analysis a co-simulation approach is required for simulating multi-domain systems. This paper presents a framework for co-simulation with the tools from three different domains covering power system, artificial intelligence and communication to simulate and analyse the smart grid applications. DigSILENT PowerFactory, a dedicated power system simulator, is interfaced with JADE (Java Agent Based Environment), an AI tool, using Application Programming Interface (API) through Python script. OMNeT++ was used as a communication simulator. Problem of voltage stabilization in power distribution network was addressed using Multi-Agent System (MAS) based approach for the validation of the proposed framework. Results show that co-simulation approach is effective for the realistic analysis of smartgrid applications.
In the domain of energy automation, where a massive number of software-based IoT services interact with a complex dynamic system, processes for software installation and software update become more important and more ...
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In the domain of energy automation, where a massive number of software-based IoT services interact with a complex dynamic system, processes for software installation and software update become more important and more complex. These processes have to ensure that the dependencies on all layers are fulfilled, including dependencies arising due to the energy system controlled by IT components being a hidden communication channel between these components. In addition, the processes have to be resilient against faults in and attacks to both the energy grid and the communication network. The ERA-Net funded project LarGo! aims at developing and testing processes for the large scale rollout of software applications in the power grid domain as well as the user domain. This article describes a work in progress and the project's roadmap to solve the technical issues. It investigates the problems that arise from the interlocking of the two networks- the power grid and the communication network. Based on this analysis a first set of requirements for a rollout process in such a Smart Grid is derived and the chosen approach to verify the resilience of the developed processes under research is described.
In this paper, a Robust Multi-branch Deep learning-based system for remaining useful life (RUL) prediction and Operating Condition (OC) identification of rotating machines is proposed. In particular, the proposed syst...
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Models of quantum systems on curved space-times lack sufficient experimental verification. Some speculative theories suggest that quantum properties, such as entanglement, may exhibit entirely different behavior to pu...
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