基于云边协同的分布式可再生能源电力测量与运行控制研究

Jingming Zhao, Sheng Huang, Qianqian Cai, FanQin Zeng, Yongzhi Cai
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摘要

本文探讨了如何将太阳能领域的两大趋势结合起来:太阳能电池板和风力涡轮机的普及更新了电网,云计算和边缘计算技术改善了电网的工作方式。我们的研究介绍了一种新策略,其基础是利用云计算的大数据处理能力,以及边缘计算提供实时数据处理和决策的能力。该方法旨在应对可再生能源系统中的主要挑战,使系统变得更大、更可靠,并缩短决定系统如何响应的时间延迟。无论我们是否准备好告别煤炭或天然气发电,这些都是必要的变革,以便我们能将太阳能和风能融入当前的电网。我们的论文提出了一种方法,我们认为可再生能源系统可以更顺利、更有效地运行。这包括更容易地测量发电量,控制这些系统,使其像传统发电厂一样运行,从而使可再生能源成为我们电力供应中可靠、高效的一部分。这些都是利用技术从太阳中获取更多绿色电力的关键步骤--我们必须这样做,才能使我们的能源使用对地球更加友好。
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Research on Distributed Renewable Energy Power Measurement and Operation Control Based on Cloud-Edge Collaboration
This paper examines how we can combine two big trends in solar energy: the spread of solar panels and wind turbines to renew the power grid, and cloud and edge computing technology to improve the way the grid works. Our study introduces a new strategy that is based on a means to exploit the power of cloud computing’s big data handling ability, together with the capacity of edge computing to provide real-time data processing and decision making. The method is designed to address major challenges in renewables systems making the system bigger and more reliable, and cutting the time delays in deciding how the system should respond. These are the kinds of changes that will be necessary so that we can blend solar and wind power into our current power grid, whether we are ready to say goodbye to coal or natural gas power. Our paper presents a way in which we believe that renewables systems can work more smoothly and effectively. This includes making it easier to measure how much power is being generated, to control these systems so that they function much like traditional power plants, and hence, to allow renewable energy to be part of a reliable and efficient part of our electricity supply. These are all crucial steps in using technology to make more of the green power from the sun – which we must do for our energy usage to be more earth friendly.
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