氢燃料电池的最优控制与电压调节

Konark Patra, Debendu Puhan, Siddhanta Pani, Samikshya Mishra
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摘要

近年来,随着非环保能源的使用,碳排放量迅速增加,导致了我们宇宙气候的奇怪变化。为了减少排放和污染,清洁的可再生能源(RES)正在全球范围内得到应用。限制可再生能源的能力,通过减少碳排放和污染的技术来发现替代能源的产生,并提供一种产生更好的性能和最大效率的清洁能源。由于氢燃料电池技术是清洁、环保的能源,能够满足能源需求。本文考虑了氢燃料电池的电压调节问题。分配的目的是利用积分时间绝对误差(ITAE)来控制输出电压,并采用智能优化技术,即遗传算法(GA)来最小化目标函数,以获得模型中所用控制器的改进增益值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Control and Voltage Regulation of A Hydrogen Fuel-Cell
In the recent era the carbon emission is increasing rapidly which leads to the strange change in the climate in our universe with the use of non-ecofriendly energies. To reduce the emission and pollution the clean renewable energy sources (RES) are now being employed worldwide. Confining the ability of the renewable energy sources to discover substitute for generation of energy by the technique which mitigate carbon emission as well as the pollution and provide a clean energy that yield better performance and maximum efficiency. As hydrogen fuel-cell technology is clean and ecofriendly energy source and also can meet the energy requirement. In this paper, the voltage regulation of the hydrogen fuel-cell is taken into consideration. The intention of the assignment is to control the output voltage by using integral time absolute error (ITAE) and execution of intelligent optimization technique that is genetic algorithm (GA) is employed to minimize the objective function to get an improved gain value for the controller used in the model.
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