理想解類似度偏好順序法於電力品質評估之應用

Applying Technique for Order Preference by Similarity to An Ideal Solution to Power Quality Evaluation

金原傑(Yuan-Chieh Chin) ； 沈弘哲(Hung-Che Shen)

《計量管理期刊》 17卷2期 (2020/12) Pp. 65-76

摘要

在目前的工業社會中，一切都是需要電力的供給，因此電力品質的穩定度就成為一個國家國力的表現。在以往，對於電力品質的定義是電壓變動不超過百分之十、頻率變化不超過百分之五及不會經常停電，並且是以標準的儀器量測出數值而做決策。本文則是加入一個新的電力品質評估方式，利用軟性計算中的理想解類似度偏好順序法及灰色熵，植基於正確的量測數值，對頻率的變動做分析。經由實際地整合理想解類似度偏好順序法與灰色熵的方式，並且以六個抽樣點的頻率數值為實例，可以得到其中頻率變動的排序，做為日後在此一領域評估之參考。

關鍵字

電力品質 ； 穩定度 ； 軟性計算 ； 理想解類似度偏好順序法 ； 灰色熵 ； 頻率的變動

並列摘要

Power supply plays a vital role in modern industrialized society. Stability of power quality, therefore, is indicative of the performance of a nation. By power quality is meant that voltage variations fall plus or minus under ten percentage, frequency variations are plus or minus under five percentage, and infrequent power outages. The data in the paper for decision making is measured applying standard instrument. The paper conducted a new method for evaluating power quality, and by employing technique for order preference by similarity to an ideal solution, a soft computing, and grey entropy, the research analyzed frequency variations based on accurate measurement data. Through integrating technique for order preference by similarity to an ideal solution and grey entropy and utilizing the frequency values at six sampling points, the paper not only obtaine the ranking of frequency variations, but also cans serve as a guide for forthcoming research.

並列關鍵字

Stability of power quality ； power quality ； Technique for order preference by similarity to an ideal solution ； Grey entropy ； Ranking of frequency variations