Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process

doi:10.11930/j.issn.1004-9649.202209056

Abstract

Abstract: Wind power-based hydrogen production and ammonia synthesis (P2A) is one of the potential technical routes for large-scale renewable energy consumption and carbon emission reduction in the power and chemical industries. Taking power-to-hydrogen production as a medium, P2A can participate in grid balancing regulation as a large-scale industrial load. However, due to the limitation of the chemical process and control of the ammonia synthesis load, the inertia of load regulation is large. When the wind power output deviates from the predicted trajectory, it is difficult for the P2A load to respond quickly. Thus, a stochastic optimal control method for the P2A load considering temporally correlated uncertainty of wind power is proposed. Firstly, the flexible regulation state-space model of the P2A system is established. Second, considering the coupling of the stochastic process of wind power output and the adjustment inertia of the ammonia synthesis section, the Itô process is used to model the stochastic process of wind power output, and a stochastic dynamics-constrained optimal control model of the P2A system is constructed. Then, the stochastic optimization problem is transformed into a deterministic second-order cone programming by the trajectory sensitivity decomposition and solved by the stochastic model predictive control (SMPC) in a rolling-horizon manner, avoiding the disadvantages of high computational complexity and low efficiency of the traditional sampling-based stochastic control methods. The case study shows that, compared with deterministic control, the proposed method fully takes advantage of the flexible production of ammonia synthesis and greatly improves the ability of P2A Load to consume the fluctuating wind power.

Key words: wind power-based hydrogen production, ammonia synthesis, green ammonia, Itô process, temporal correlation, stochastic model predictive control

YANG Guoshan, ZHU Jie, SONG Wenqin, QIU Yiwei, ZHOU Buxiang. Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process[J]. Electric Power, 2023, 56(7): 66-77.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202209056

https://www.electricpower.com.cn/EN/Y2023/V56/I7/66

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