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Titlebook: Engineering IT-Enabled Sustainable Electricity Services; The Tale of Two Low- Marija Ilic,Le Xie,Qixing Liu Book 2013 Springer Science+Busi

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發(fā)表于 2025-3-21 18:19:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Engineering IT-Enabled Sustainable Electricity Services
副標(biāo)題The Tale of Two Low-
編輯Marija Ilic,Le Xie,Qixing Liu
視頻videohttp://file.papertrans.cn/311/310835/310835.mp4
概述Approaches the problem of electric power system architecture evolution..Helps readers develop dedicated systems-engineering based modeling and simulation tools..Discusses the dynamic and distributed r
叢書名稱Power Electronics and Power Systems
圖書封面Titlebook: Engineering IT-Enabled Sustainable Electricity Services; The Tale of Two Low- Marija Ilic,Le Xie,Qixing Liu Book 2013 Springer Science+Busi
描述Sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources - are the subject of this new innovative book. The myriad factors involved in modeling an effective sustainable power system are overwhelming. The “Green Islands” project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT).?Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. The energy contingencies of the remote islands are not unique. The issues of integrating promising clean technologies, such as wind, into a complex power grid are challenging in geographically far-flung, island-scale, power systems..?.Model-based sensing, communications, and decision-making algorithms to coordinate adaptive load management (AL
出版日期Book 2013
版次1
doihttps://doi.org/10.1007/978-0-387-09736-7
isbn_ebook978-0-387-09736-7Series ISSN 2196-3185 Series E-ISSN 2196-3193
issn_series 2196-3185
copyrightSpringer Science+Business Media New York 2013
The information of publication is updating

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Electrical Networks of the Azores Archipelagoge have radial distribution networks. Larger islands such as Graciosa, Faial and Santa Maria have ring distribution systems located along the coastal area. In addition, the largest islands like Terceira and S?o Miguel have high voltage transmission systems connecting large generators to large load c
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Conventional Generation Dispatch Methods in Systems with Intermittent Resourceses for both islands. If the number of wind turbines is over the ideal, the energy produced might not be injected into the grid, with all the costs associated with that. To estimate the wind energy available but not injected into the grid, we use a method based on Unit Commitment (UC). For the UC, we
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Look-Ahead Model-Predictive Generation and Demand Dispatch for Managing Uncertaintiesthe results of economic dispatch considering an elastic load with its demand function and the generation resources. We use two distinct algorithms for this . dispatch: Day-Ahead Scheduling and Real-Time Adjustment. We compare and analyze the results of these two different methods and discuss their i
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