Abstract

This paper is proposed a PID optimal controller in order to control of one of the most important types of fuel cell, namely proton exchange membrane fuel cell (PEMFC). At first, the introducing and implementation of PEMFC is present and next, during system load variations the proposed controller is designed. The controller should be designed against the load variations for keeping in a fixed value of Fuel cell output voltage. Here, the PID Controller is used which its coefficients are optimized based on Invasive Weed Optimization (IWO). In order to use this algorithm, at first, problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable controller, IWO algorithm is applied to solve the problem. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller in contrast to the previous controllers.

Highlights

  • Rising of fossil fuels cost and their probable depletion, air pollution, global warming phenomenon and severe environmental problems is caused distributed energy sources have gained the attention of many nations in producing electricity

  • This paper introduce a new optimal PID controller, which is used of Invasive Weed Optimization (IWO) algorithm to designing the voltage controller of proton exchange membrane fuel cell

  • Desired load is considered under the constant output voltage, while the current is changing between the range of 10 to 15 ampers, and the number of its changes are considered more to show the performance of the proposed controller

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Summary

Introduction

Rising of fossil fuels cost and their probable depletion, air pollution, global warming phenomenon and severe environmental problems is caused distributed energy sources have gained the attention of many nations in producing electricity. In [2], a type of fuzzy controller to control the fuel cell output voltage is considered. Fuel cell output voltage changes for different loads.

Results
Conclusion
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