首页> 外文会议>International ICSC Symposium on Artificial Intelligence in Energy Systems and Power >TOWARDS A DECENTRALISED ENERGY SUPPLY SYSTEM OF THE FUTURE: INTRODUCTION TO THE GERMAN NETWORK ON ENERGY AND COMMUNICATION
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TOWARDS A DECENTRALISED ENERGY SUPPLY SYSTEM OF THE FUTURE: INTRODUCTION TO THE GERMAN NETWORK ON ENERGY AND COMMUNICATION

机译:走向未来的分散的能源供应系统:德国网络能源和通信介绍

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It can be expected that the energy supply system of the future will have a large share of decentralised power supply. To integrate these decentralised and sometimes fluctuating production units into a reliable and efficient electricity supply structure is one of the important challenges faced by the power supply industry in the future. Experts from different areas like power engineering, renewable energy, communication technology and artificial intelligence are needed to tackle these questions. To bring these experts together, a research network on energy and communication (NEuK) has been established in Germany. The network intends to establish connections between the partners to exchange knowledge, develop new approaches to problems, find interfaces to other fields of research and to propose new R&D-projects. To operate a power supply system with a large number of decentralised power supply units requires an increased level of communication with these units and probably also with the demand side. It also requires intelligence to be built in the power supply system, which controls the supply units and ensures a reliable operation. Artificial intelligence (AI) algorithms are an obvious choice for many optimisation and control tasks needed in the operation of such systems. Artificial neural networks are already in use for wind power prediction systems as well as for load prediction.
机译:可以预期,未来的能源系统将具有大量分散电源。为了将这些分散的,有时将生产单位与可靠而有效的电力供应结构集成,是供电行业在未来面临的重要挑战之一。需要电力工程,可再生能源,通信技术和人工智能等不同领域的专家来解决这些问题。将这些专家汇集在一起​​,在德国成立了一项关于能源和通信(Neuk)的研究网络。网络打算建立合作伙伴之间的联系以交换知识,开发新的问题方法,查找对其他研究领域的接口,并提出新的R&D-Projects。为了操作具有大量分散电源单元的电源系统,需要增加与这些单元的通信水平,并且也可能与需求侧。它还需要在电源系统中构建智能,控制供电单元并确保可靠的操作。人工智能(AI)算法是在这种系统操作中所需的许多优化和控制任务的明显选择。人工神经网络已经用于风电预测系统以及负载预测。

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