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基于机会约束的风光制氢合成氨系统低碳优化调度

SHI Xulu XING Haijun WANG Hang HUANG Chenghao ZHAO Jingjing

高电压技术2025,Vol.51Issue(12):6073-6084,中插27-中插28,14.
高电压技术2025,Vol.51Issue(12):6073-6084,中插27-中插28,14.DOI:10.13336/j.1003-6520.hve.20241090

基于机会约束的风光制氢合成氨系统低碳优化调度

Low-carbon Dispatch of Wind and Solar Power-based Hydrogen Production and Ammonia Synthesis System Based on Chance Constraints

SHI Xulu 1XING Haijun 1WANG Hang 2HUANG Chenghao 1ZHAO Jingjing1

作者信息

  • 1. College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China
  • 2. State Grid Huangshan Power Supply Company,Huangshan 245000,China
  • 折叠

摘要

Abstract

The power-to-ammonia(P2A)technology possesses the potential to surmount the challenges posed by the variability,intermittency,and peak-shifting nature of renewable energy generation,which represents a pivotal strategy for facilitating the low-carbon and clean transformation of the energy system.To address the issues of integration challenges associated with a high proportion of wind and solar power,this paper proposes a model for optimizing the operation of a wind and solar power-based hydrogen production and ammonia synthesis system.This model encompasses electrolytic hydrogen production,ammonia synthesis,gas hydrogen blending,and coal-ammonia combustion technologies.By em-ploying the sequential operations theory,the joint output probability of wind and solar power is calculated while establishing probability reserve constraints in the form of an opportunity constraint to balance expected renewable energy outputs with actual output deviations.To ensure supply-demand equilibrium,a system optimization model that considers integrated demand response and real-time energy price mechanisms is developed.Simulation and comparative analysis across different scenarios demonstrate that the proposed method can be adopted to reduce carbon emissions by 5.82%while achieving 98.3%absorption of wind and photovoltaic power.The system is capable of maintaining safe and reliable operation under uncertainty;when the hydrogen blending ratio of the gas turbine reaches 16%,the system operates in its optimal state.

关键词

可再生能源电制氢合成氨/煤氨混燃/燃气掺氢/机会约束规划/不确定性

Key words

renewable power to ammonia/coal-ammonia miscombustion/gas hydrogen-blending/chance-constrained programming/uncertainty

引用本文复制引用

SHI Xulu,XING Haijun,WANG Hang,HUANG Chenghao,ZHAO Jingjing..基于机会约束的风光制氢合成氨系统低碳优化调度[J].高电压技术,2025,51(12):6073-6084,中插27-中插28,14.

基金项目

国家重点研发计划(2022YFB2402800). Project supported by National Key R&D Program of China(2022YFB2402800). (2022YFB2402800)

高电压技术

OA北大核心

1003-6520

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