Maximum Efficiency Point Tracking Control for Hydrogen-Production Load Based on Optimal Gradient Algorithm

YUN-FENG CAI, LIANG WANG, JIAN-HUA ZHOU, YONG ZHANG, YONG-ZHI ZHOU

Abstract


Renewable energy sources are limited to connect to the grid because of the fluctuating and intermittent output power, and a large-scale power curtailment phenomenon thus appears recently. Many energy storage technologies can realize peak-shaving and valley-filling function, but there is no suitable method that can be widely used because of the cost, geographical position, capacity, materials and so on. Hydrogen production load (HPU) can effectively absorb the electrical power and the produced hydrogen gas can be used as a high-energy fuel. But the energy conversion efficiency of HPU is an important factor that directly determines whether it can be widely used. The energy conversion efficiency curve from electric energy to chemical energy is deduced, and the result shows that it increases first and then decreases with the increase of the input current. Then the optimal gradient algorithm is used to track the maximum efficiency point in order to improve the efficiency of the whole system. Besides, a compromise control strategy considering the efficiency and power consumption capacity is given to absorb much more renewable energy. Finally, the control strategies are verified with experimental results.

Keywords


Renewable energy sources, Hydrogen production load, Optimal gradient controlText


DOI
10.12783/dteees/peems2019/33995

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