基于遗传算法的PI控制器对地热发电厂的最优控制

N. Azazy, W. Helmy, H. Hasanien
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引用次数: 0

摘要

本文采用Simulink模型和MATLAB软件建立了低温地热电厂的受控地热电厂模型,该模型代表了整个电厂的电功率及其随地热温度的变化情况。该模型包含了与有机朗肯循环相关的所有力学方程、能量转换方程、电厂机械部分使用的有机流体及其对发电功率的影响。该模型清晰地显示了埃及地热潜力区不同地热温度下电力输出能量信号的变化和不稳定响应。采用基于遗传算法的PI控制器对水轮机进行控制,克服了输出功率at的变化,使其能够集成到配电系统中。这项研究的结果有力地帮助了埃及从事地热能源工作的政府和私营部门,以确定地热发电厂整合到网络中的最佳位置,并轻松预测可产生的电力能量的数量。
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 of Geothermal Power Plant by Using PI Controller Based on Genetic Algorithm
A Controlled Geothermal power plant model for low temperature geothermal plant is presented in this paper using the Simulink model, and MATLAB software which represents the whole power plant showing the electrical power, and it’s variation with the different geothermal temperatures. The model includes all the mechanical equations, and energy conversion equations related to the organic Rankine cycle, and the organic fluid used in the mechanical part of the plant, and their effect on the generated electrical power. The model shows clearly the variation, and unstable response of the electrical power output energy signals at different geothermal temperatures in Egypt’s promising geothermal regions. A PI controller based on the Genetic Algorithm is used to control the turbine to overcome the variation of the output power at so as to be able to be integrated into a distribution power system. The results of this research help strongly the governmental, and private sectors working on geothermal energy in Egypt to specify the best locations of the geothermal power plants to be integrated into the network, and predict easily the quantity of the electric power energy can be generated.
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