| Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系碩士班 === 95 === Stable power quality is always the main goal that the power utility pursues. Besides the increasing of power generation efficiency, the most important topic is how to reach the loss minimization and support the stable power quality on power system. The control of reactive power and voltage indeed affects the power quality. Therefore effective reactive power and voltage control scheme can improve the power quality and reduce the transmission cost.
This thesis proposes an artificial immune algorithm (AIA), which simulates the operating relationship between the antigen and antibody in a human immune system, to solve the optimization problem of reactive power and voltage control. In the AIA, the antibody and antigen are in corresponding to the optimum solution and objective function of the optimization problem. Besides, the affinity among the antibody group is applied to increase the diversity among them to avoid the local optimum solution such that the quick convergent speed and the global optimum solution can be achieved.
Finally, two real 69-kV transmission networks are selected as testing cases for computer simulations. The first case of Sinying 69-kV transmission network located at Jia-nan power supply branch is examined to derive the optimum operation scheme of reactive power and voltage control during a heavy load period by AIA. The second case of Yunling 69-kV transmission network also located at Jia-nan power supply branch is examined to solve the optimum capacitor bank placement for system weakness by AIA. Simulation results show that the effectiveness and practicality of the proposed AIA for solving the optimum reactive power and voltage control in 69-kV transmission network can be justified.
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