利用區域網路及編碼無線遙控做智慧型區域動態電力調度

中文摘要國際原油價格持續飆高，使得發電成本增加，同時用電量又隨著國民生活水平上升而大幅成長，使得尖、離峰負載差距日益增大，電力調度變成為電力供應的重要課題。本研究是以區域電力調度卡（Local Power Dispatch Card, LPDC）、區域主控系統（Local Host System, LHS）及中央電力調度系統（Central Power Dispatch System, CPDS）結合無線編碼遙控及區域網路技術建構成為區域智慧型動態電力調度。在本論文中，作者將結合人工智慧的觀念架設區域使用電力調度系統，針對「如何分散負載用電時間」及「如何有效節約能源」提出「區域智慧型動態電力調度系統」應用既有的軟硬體技術在不同負載管理策略中，降低尖峰負載，間接縮短尖離峰負載差距，舒緩電力不足的現象，也可減少電源開發的需求，使電能能更有效率的調度和節約。為證明本研究所提出的系統功能，本文提出兩種應用案例分別測試本系統性能。工廠產業實際應用部分是以一家小型電子工廠實例，進行尖峰負載壓抑控制，經過數個月的測試，不僅使尖峰負載下降了21.6%，縮減尖、離峰負載差距，且電費減少了四萬多。對一家小型電子廠，一個月電費減少近14%是非常可觀的數字。另一案例是以一所由8500位學生及六百多位教職員所組成的大專院校，一百多間冷氣教室的電源智慧型控制為本研究的實驗目標。依據各教室的課表轉換成本研究所需的系統控制參數，透過區域主控系統及區域電力調度卡對各教室進行區域智慧型動態電力調度，一星期的電力節約將近10%。

關鍵字

人工智慧；區域智慧型動態電力調度系統；電力調度；專家系統

並列摘要

Abstract Escalating energy costs and the overloaded power plants during peak demand periods are major concerns many industrialized nations have to deal with today. This dissertation discusses the deployment of an Intelligent Dynamic Local Area Power Dispatch System (IDLAPDS) utilizing Radio Frequency (RF) and local Area Network (LAN) technologies consis of Local Power Dispatch Card (LPDC), Local Host System (LHS) and Central Power Dispatch System (CPDS). In this paper, the authors will further discuss on ways to incorporate Artificial Intelligence (AI) ideologies in building a LAPDS that is both more efficient in energy deployment and saving. In this dissertation, the author consists of the idea of Artificial Intelligence and LAPDS to present the IDLAPDS, which links 'how to disperse power load' and 'how to economize the power effectively'. The main targets of the system is to reduce peak, to shorten sharp from peak load indirectly, to release power developing and power deman, and to dispatch and save the power more effectively. There are two application cases in this dissertation. An electronic factory that the factory reduced peak load by IDLAPDS for several months. It is not only to drop peak load 21.6%, to reduce sharp, but also to save more than NT$40,000 in September. That is very considerable result, which reduces electric rate by nearly 14% in a month. Another case, an university is made up by 8500 students and more than 600 lecturers and staffs. There are more than 100 air-conditioning classroom, which are controlled by IDLAPDS to pander to the experiment goal of this research. Author converts the lecturing timetables to the system control parameters. The devices are controlled by LPDCs, and LPDCs transfer the parameters to LHS by using RF to procure for the Intelligence power load dispatch. The system economizes nearly 10% electricity for one week.

並列關鍵字

Power dispatch ； artificial intelligence ； expert system ； intelligence power load dispatch system

參考文獻

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國際替代計量

利用區域網路及編碼無線遙控做智慧型區域動態電力調度

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