This paper is a step towards ‘green telecom tower’ by eliminating the diesel generator from telecom power supply. The fuel cell based power supply has been proposed for telecom towers in remote and rural areas. The challenge of meeting the prerequisite of telecom power supply which are reliability and regulated DC distribution bus voltage in the environment of fuel cell is addressed by proposing the intelligent hybrid controller. The proposed controller has inherited the best characteristics from linear and non-linear controller. The controller is easy and inexpensive to design and implement as well as has robust response against source side disturbance (fluctuating output voltage of fuel cell) and load side disturbance (varying telecommunication signal traffic). Meta-heuristic algorithms has been implemented to tune the PID based intelligent hybrid controller without the need of extensive mathematical modeling of the complete system. A modified adaptive real-value coded genetic algorithm has been proposed to enhance the performance of the controller which is tested against other algorithms such as genetic algorithm, particle swarm optimization and gray wolf optimization. The extensive analysis and simulation has been carried out to validate the performance of the intelligent hybrid controller for fuel cell based power supply to telecom towers.

本文通过取消电信电源中的柴油发电机，向“绿色电信塔”迈出了一步。已经提出了基于燃料电池的电源用于偏远和农村地区的电信塔。通过提出智能混合控制器，解决了在燃料电池环境中满足电信电源的先决条件的挑战，即可靠性和稳定的直流配电总线电压。所提出的控制器继承了线性和非线性控制器的最佳特性。该控制器易于设计和实施，价格便宜，并且对源侧干扰（燃料电池的输出电压波动）和负载侧干扰（电信信号流量变化）具有强大的响应能力。已采用元启发式算法来调整基于PID的智能混合控制器，而无需对整个系统进行广泛的数学建模。提出了一种改进的自适应实值编码遗传算法，以提高控制器的性能，并针对遗传算法，粒子群优化和灰太狼优化等其他算法进行了测试。已经进行了广泛的分析和仿真，以验证用于燃料电池的电信塔电源智能混合控制器的性能。提出了一种改进的自适应实值编码遗传算法，以提高控制器的性能，并针对遗传算法，粒子群优化和灰太狼优化等其他算法进行了测试。已经进行了广泛的分析和仿真，以验证用于燃料电池的电信塔电源智能混合控制器的性能。提出了一种改进的自适应实值编码遗传算法，以提高控制器的性能，并针对遗传算法，粒子群优化和灰太狼优化等其他算法进行了测试。已经进行了广泛的分析和仿真，以验证用于燃料电池的电信塔电源智能混合控制器的性能。