智能配电和用电:SMARTGRID[主讲人3]

J. S. Janosy
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引用次数: 3

摘要

只提供摘要形式。我们生活在网络的包围中。第一个这样的网络可能是邮政服务,现在年轻人已经在使用4G移动互联网。兆瓦和千兆瓦没有兆和千兆那么容易处理。转移大量电能需要大量投资。这个故事始于19世纪末的蒸汽机,它首先为工厂发电,后来为靠近大型工业中心的工人定居点发电。将这些电网连接起来,形成了至少在城市化地区可用的国家电网。这听起来可能很奇怪,但在过去的120年里,消费习惯几乎没有改变。房子外面有一个电表,任何人都可以在任何时候随心所欲地汲取能量。所有这一切都发生在固定价格的情况下,而不是依赖于实际的供求状况——这在今天是相当奇怪的。2001年9月11日的事件告诉我们,即使在国内,我们也是脆弱的。2003年美国东海岸持续4天的大停电,造成了巨大的损失,甚至生命损失,这意味着必须采取措施:不应该再发生这种情况。我们已经从信息技术中知道:网络应该是冗余的、多样的、分布式的、分层构建的、自诊断和自修复的,以便能够提供健壮可靠的服务。如何做到这一点?另一方面,不可预测的和可再生的能源增长非常迅速。光伏电池、风力涡轮机、沼气等。它们相对较小,但数量非常多,不能以旧式的集中方式有效地处理。我们需要尽可能多地在当地储存能量,以便在太阳下山、没有风的时候储存能量。这意味着客户必须更聪明,更聪明地在新的、快速变化的灵活电价环境中优化各种可能性。不同的国家有不同的情况,取决于不同的历史和发展水平。没有通用的改进方法。会有不同的想法,不同的方法以一种相对容易理解的方式呈现和比较。这就是我们的知识和经验的作用:模拟。大功率的实验是昂贵的,但建模是直接和可靠的,不同的方法可以相对容易地制定出来,这应该不会持续很长时间。
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Intelligent electrical energy distribution and consumption: SMARTGRID [keynote speaker 3]
Summary form only given. We are living with networks surrounding us. The first such network was probably the postal services, and now the youngsters are already using 4G mobile internet. Megawatts and gigawatts are not so easy to handle than megabytes and gigabytes. Transferring huge amounts of electrical energy requires big investments. The story started at the end of the 19th century with steam engines, generating power first for the factories, later for the settlements of the workers, moving close to the big industrial centres. Connecting those resulted in national grids available at least for the urbanized areas. It may sound strange, but the consumption habits have changed very little during the last 120 years. There is a meter outside the house and anybody can draw any time as much energy as he/she pleases. All this happening with fixed prices not depending upon the actual state of the supply and the demand - which is rather strange nowadays. The events on 11th of Sept. 2001 taught us that we are vulnerable even at home. The 2003 big blackout lasting four days on the east coast of USA and causing huge damages and even losses of lives implied that something has to be done: it should not happen any more. We already know from the information technology: networks should be redundant, diverse, distributed, hierarchically built, self-diagnosing and self-healing in order to be able to provide robust and reliable service. How to achieve that? On the other hand, the unpredictable and renewable energy resources are growing very rapidly. Photovoltaic cells, wind turbines, biogas, etc. They are relatively small, but very numerous and they cannot be handled efficiently in the oldfashioned centralized way. We need local energy storage as much as possible to cover periods of time when the sun is down and the wind is not blowing. That implies that customers have to be smart, more intelligent to optimize the various possibilities in the environment of new, fast-changing flexible electricity tariffs. Different countries are in different situation, depending upon the different history and levels of development. There is no common approach to improve. There will be different ideas, different methods presented and compared in a relatively easy understandable way. This is where our knowledge and experience steps in: simulation. Experimenting with big power is expensive, but the modeling is straightforward and reliable, and different approaches can be worked out relatively easy and this should not last very long periods of time.
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Big data in [keynote speaker 2] Feature selection in data-driven systems modelling [keynote speaker 1] Intelligent electrical energy distribution and consumption: SMARTGRID [keynote speaker 3] A Quasi-stationary Approach to the Approximate Solution of a FEA 3D Subject-Specific EMG Model Ontology for Systems Engineering: Model-Based Systems Engineering
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