Study on Load Forecasting and Optimization of Contract Capacity

• Main Authors: Po-Yen Chung, 鍾柏彥
• Other Authors: Tsai-Hsiang Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/4qx4zs

碩士 === 國立臺灣科技大學 === 電機工程系 === 105 === This thesis aims to study the load forecasting and optimization of contract capacity. To begin with, collect the relevant literature. Then, compare the traditional linear regression and grey theory of the forecast load method. Furthermore, put forward revised data. Finally, compare the load forecasting results of pre- and post- prediction. Filtered data can reduce the error. After that, using of particle swarm algorithm (PSO) does the best contract capacity calculation. Company use by calculating the best value can save more electricity than previous years. In this study, the auther uses the commercial suite software MATLAB to construct the load forecasting model and the contract capacity optimization model, and then the auther proceeds with the analysis, comparison and discussion. In summary, the study with the latest measures of Taipower, demand bidding, for the user's future load selected implementation date, time and capacity to reduce the assessment can evaluate wether the method is applicable or not, and provide reference. The study can help users to save electricity and more effective control the power load.