Different computational technique for solution of variation issue

Ashish Dhamanda
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Abstract

Issue of large demand of electricity by customers in all countries becomes a big challenge to all. In this paper the issue of frequency and corresponding power in the generating station has been focused and three generating units taken as a source of electricity generation. Computational technique like; PI, PID, Fuzzy and GA Technique has been applied for the solution of such issues, when the generating unit is operating normal and also even in disturbing condition. The Simulink model has been simulated and comparative result of response has been tabulated for best effectiveness. Comparative results show that the GA techniques gives good results with respect to the other techniques by satisfying the all system parameters in all the conditions.
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求解变分问题的不同计算方法
各国用户对电力的巨大需求问题成为各国面临的一大挑战。本文重点研究了电站频率及相应功率的问题,并以三台发电机组为发电源。计算技术如;采用PI、PID、模糊和遗传算法等技术,在机组正常运行和扰动状态下解决了这类问题。对Simulink模型进行了仿真,并将响应的比较结果制成表格,以获得最佳效果。对比结果表明,遗传算法在满足所有条件下的所有系统参数的情况下,相对于其他方法具有较好的效果。
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