An Implementation of Power Monitoring and Control System for Campus Power Systems
| Autor: | Chien-Hsin Wu, 吳建欣 |
|---|---|
| Rok vydání: | 2003 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 91 This paper presents an implementation of power monitoring and control system which enhance the users to know their conditions of power using and find a way of reducing the operating costs. With the system, the users could make a reasonable utility contract in accordance with the conditions and characters of the loads, moreover, it could restrain the peak loads and reduce costs in the same time. Now we illustrate our research for each core software functions of the system. These functions are described in the following sections : 1.The main system setting, including communication and digital power meter settings; 2.Power consumption analysis, including real-time and history power consumption analysis; 3.Employing Artificial Neural Network to do load forecast; 4.In accordance with “Ameliorated Multi-Pass Dynamic Programming” and Taipower’s Rates to sign the optimal utility contracts; 5.To proceed useful and immediate load management for air conditioner; 6.Using “Discrete Fourier Transform Algorithm” to do harmonic analysis; 7.Report function. This is a powerful and good flexible system which is suitable for many different users. Not only it can reduce the costs and increase the efficiency of power using, also enhance the stability and reliability of the power system during the peak loads period in summer. Finally, we give you a example, “A Scheme of NTU Power Management”. It says that, when the users don’t know their conditions of power using and the power supply demands increase rapidly. Not only causing a huge loads for power system supply, also having weighty bill of school annual expenditures for a fine of over utility contract. For solving this problem, it is necessary to plan a suitable power system to save the energy and decrease the fine. So, in this paper, we would do a detailed description. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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