| Summary: | 碩士 === 中原大學 === 電機工程研究所 === 104 === When the power system increases a lot of load or renewable energy, it is easy to have an impact on the system voltage and the system power quality becomes poor. This thesis uses particle swarm optimization (PSO) algorithm to adjust the membership function’s parameters of interval type II fuzzy controller applied to the STATCOM. Power quality is analyzed by comparing with that obtained by the proposed method, the fuzzy controller and PI, respectively.
This thesis builds a distribution system in the MATLAB / simulink environment. This system contains photovoltaic generation system and STATCOM. The STATCOM is incorporated with interval type II fuzzy controller which was combining with PSO, traditional first type fuzzy controller and PI respectively. Then, voltage sources and solar radiations were varied, in order to find the optimal parameters of interval type II fuzzy controllers. From the simulation results, it can be found that the proposed interval type II fuzzy controller tuned by PSO can effectively improve the system voltages.
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