Hydrogen production from wind power can achieve zero emission of carbon, which is an important measure to promote the low-carbon transformation of energy industry of China. In this paper, an optimal dispatch strategy of wind-hydrogen coupling system (WHCS) considering step carbon trading mechanism is proposed. Firstly, the model of WHCS is established, and the real-time electricity price fluctuation is determined by forecasting load and real-time electricity price. Then, based on the problem of WHCS participating in the carbon trading market, the stepped carbon trading mechanism model for limiting carbon emissions is proposed. Finally, an optimal dispatch strategy is proposed to minimize the operating cost of the system. The results show that compared with the traditional carbon penalty mechanism, the optimal dispatch strategy in this paper can reduce the carbon emission of the system by 1456.98 kg.

Hydrogen energy has an important role in superconducting energy storage cooling and materials synthesis. As the power-to-hydrogen (P2H) loads, alkaline electrolytic cells (AEC) and proton exchange membrane electrolytic cells (PEMEC) have different technical characteristics (TCs). This paper proposes an optimal capacity configuration model for the hybrid electrolytic cells P2H system in distribution system (DS). Firstly, a unified operating model for the electrolytic cell is established. Secondly, the optimal capacity configuration model is proposed with the objective function to minimize the total cost of the DS, including the numbers and capacity configuration of the hybrid electrolytic cells. Finally, the proposed model is verified by using the modified IEEE 33-bus system. The results show the total cost of the proposed model reduced by 4% and 11%, the hydrogen production power increase of 0.26% and 0.52% compared to the AEC and PEMEC configurations only. The study provides a reference for the configuration of large-scale hybrid electrolytic cells in power system.

Hydrogen energy plays an important role in the transformation of low-carbon energy, and electric–hydrogen coupling will become a typical energy scenario. Aiming at the operation flexibility of a low-carbon electricity–hydrogen coupling system with high proportion of wind power and photovoltaic, this work studies the flexibility margin of an electricity–hydrogen coupling energy block based on model predictive control. By analyzing the power exchange characteristics of heterogeneous energy, the homogenization models of various heterogeneous energy sources are established. According to the analysis of power system flexibility margin, three dimensions of flexibility margin evaluation indexes are defined from the dimension of system operation, and an electricity–hydrogen coupling energy block scheduling model is established. The model predictive control algorithm is used to optimize the power balance operation of the electro–hydrogen coupling energy block, and the flexibility margin of the energy block is quantitatively analyzed and calculated. Through the example analysis, it is verified that the calculation method proposed in this article can not only realize the online power balance optimization of the electric–hydrogen coupling energy block but also effectively quantify the operation flexibility margin of the electric–hydrogen coupling energy block.

The efficiency of the power‐to‐hydrogen (P2H) alkaline electrolyzer (AE) is the primary factor constraint on its large‐scale application. Decreasing the specific energy consumption (SEC) of AE is positive to enhancing the efficiency of P2H system. However, the factors influencing the SEC of AE are yet to be fully revealed. In this paper, the influence of power quality and stack temperature on the SEC of AE is explored. Firstly, the models of double star rectifier and PWM current‐type rectifier are established. And the mathematical model on the SEC of rectifiers is proposed. The influence of power quality on the SEC is analyzed by comparing the current and voltage waveforms under four types of rectifiers. Secondly, the model of AE that considers the stack temperature is proposed. Unlike the existing simplified models, the proposed model can assess the SEC considering changes in stack temperature. Finally, the results show that the SEC with the 6‐pulse rectifier is 10.99% and 11.98% higher than that with the double‐star rectifier and PWM current‐type rectifier. The stack temperature is inversely related to the SEC of AE. This study provides a reference for reducing the SEC and enhancing the efficiency of the P2H system.