| Summary: | 碩士 === 中原大學 === 電機工程研究所 === 89 === For improving the power quality, mitigating the damage due to harmonic and to agree with the regulations of harmonic restriction, most of the power consumers with harmonic load install the harmonic filters to reduce the harmonic current to the system and improve the power factor simultaneously. In the broad terms, two categories of harmonic filter namely passive filter and active filter can be used, and these filters can be set at low voltage or high voltage levels. When a harmonic filter with large capacity is required, however, the passive filter set at high voltage level is the better choice due to low cost of construction and maintenance and less space occupation. On other hand, because of low system impedance with complex variation at high voltage system, unsuitable set of the parameters of passive harmonic filter will add the difficult to the plan of harmonic filter. So, it is necessary to select suitable sets of filter which take the variation on system characteristic into consideration. This thesis proposes the optimal installation plan of passive harmonic filter considering the multiple loads and harmonic levels based on muti-type and muti-set of filter. The first stage is optimal planning based on load curve information and the change the parameters of the passive filters based on load levels and harmonic levels to agree with power factor correction and harmonic filtered demand of each load levels, and make the cost of the filter and bank less. Four types of filter namely single-tuned, second order, third order and C-type damped filters are selected for installation. Firstly, the characteristic of each type of filter is analyzed. The cost function and the constraints of each type of filter and system are constructed for formulating the optimization problem of installation plan of filter. Secondly, the simulated- annealing(SA) algorithm for searching optimal installation plan of filter is developed.. Finally, three cases of filter planning are presented to show that the superiority and availability of the SA algorithm and proposed installation plans of filter.
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