摘要
电制氢技术将可再生能源发电与氢下游的甲醇合成产业相耦合,是电力、化工行业低碳转型的重要发展方向。然而传统甲醇合成生产采用“恒功率,满负载”运行模式,为保证供电平稳性需以更高的价格购买优质电量,导致生产成本高昂。为此,充分考虑甲醇合成反应的动力学和热力学特性,提出甲醇合成工段多负载区间异速调控方法,配合集群制氢负载的启停调度,构建适应风电波动的电制氢合成甲醇系统全环节柔性调度模型。引入基于Wasserstein距离的分布鲁棒优化,以最大化系统收益为目标建立优化调度模型,并利用仿射策略实现系统再调度以平抑可再生能源发电出力偏差。最后,分别以独立风电制氢合成甲醇系统和基于IEEE 14节点构造的化工园区系统进行算例分析,结果表明,采用柔性运行方式可降低电转甲醇系统对供电平稳性的依赖,优先利用廉价风电可降低甲醇生产成本14.5%,在新能源高占比电网中更具经济优势。
Power-to-hydrogen(P2H)technology integrates renewable power with the methanol synthesis industry,serving as a crucial avenue for the low-carbon transformation of the electrical power,and chemical sectors.However,traditional electrical power-based hydrogen production and methanol synthesis systems operate continuously at a constant load,necessitating the purchase of high-quality electricity at elevated prices to ensure a stable power supply.This results in the high production cost of methanol.To address this challenge,we propose a multi-load interval regulation approach with varying ramp rates for the methanol synthesis section,considering the dynamic and thermodynamic characteristics of the methanol synthesis reaction.We establish a flexible scheduling model for the entire P2H-based methanol synthesis system by coordinating the start-up and shutdown sequences of the hydrogen production cluster,adapting to fluctuating wind power.We also introduce distributionally robust optimization based on Wasserstein distance to maximize system profits and create an optimized scheduling model.An affine policy is employed to facilitate system rescheduling,thereby smoothing the output deviations of renewable power.In conclusion,we conduct case studies on an independent wind power-driven methanol synthesis system and an improved IEEE 14-bus chemical industry park system.The simulation results demonstrate that the flexible operation of the power-to-methanol system can reduce its reliance on power supply stability and leverage the cost-effective electricity from wind power to lower methanol production costs by 14.5%.This approach offers economic advantages,particularly in high-proportion renewable energy grids.
作者
杨国山
朱杰
杨昌海
刘永成
邱一苇
YANG Guoshan;ZHU Jie;YANG Changhai;LIU Yongcheng;QIU Yiwei(Economic and Technological Research Institute of State Grid Gansu Electric Power Corp.,Lanzhou 730050,China;College of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电力建设》
CSCD
北大核心
2023年第11期149-162,共14页
Electric Power Construction
基金
国家自然科学基金(51907099)
国网甘肃省电力公司重点科技项目(SGGSJY00NYJS2200024)。
