Improved Taguchi Method Based Capacity Contract Optimization for Power Consumer with Self-Owned Generating Units

碩士 === 中原大學 === 電機工程研究所 === 94 === Following rapid development of high-technology industry, reliable power supply is quite important. As a severe power event happens, it may cause very huge losses. In the situation that power supply of the utilities is unable to be absolutely reliable, many customer...

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Bibliographic Details
Main Authors: Chung-Hsi Huang, 黃崇熙
Other Authors: Hong-Tzer Yang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/08399539667395274151
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Summary:碩士 === 中原大學 === 電機工程研究所 === 94 === Following rapid development of high-technology industry, reliable power supply is quite important. As a severe power event happens, it may cause very huge losses. In the situation that power supply of the utilities is unable to be absolutely reliable, many customers thus have their self-owned generating units in order to improve the power reliability. The thesis studies how to set optimal capacity contract in consideration of expenditure of the utility power and cost of self-generating power at the same time. To be achieved is the savings of power expenses. The power tariff rate has different structures in different periods and seasons. With the self-owned generators included, it would be more difficult to set the optimal capacity contracts by observing simultaneously the output ranges of the self-owned generating units, power factors, and the fees of regulating capacity contracts. The thesis proposes improved Taguchi method to determine the best capacity contracts and dispatch the power output of the self-owned generating units. The objective is to search the solution which has the lowest electrical power expenses from almost infinite combinations. To verify the feasibility of the proposes method, the thesis employs the practical data from an optoelectronics factory, which includes the amounts of power consumption from the utilities, capacities of generating units, and load demand forecasting in the months of planning period. Then, searched in the proposed Improved Taguchi Method is the optimal solution with minimal total power expenses according to the tariff structures of Taipower. The results are then compared to the existing other algorithms. The simulation results reveal that about 12.95% of electrical power expenses per month in average can be saved through the proposed approach.