摘要
“30*60”双碳背景下,为实现低碳排放,需从低碳政策和低碳技术两个路径进行协调。为此建立了含P2G-CCS(power to gas and carbon capture system,P2G-CCS)耦合和燃气掺氢的虚拟电厂(virtualpowerplant,VPP),并提出了基于阶梯碳交易机制的VPP优化调度策略。首先,在低碳技术层面,针对P2G-CCS耦合和燃气掺氢子系统,建立了掺氢燃气轮机、掺氢燃气锅炉、两段式电转气(power to gas,P2G)和碳捕集系统(carboncapturesystem,CCS)的数学模型;其次,在低碳政策层面,建立了阶梯碳交易模型对系统碳排放进行约束;最后,在建模基础上,提出了以碳交易成本、购气和煤耗成本、碳封存成本、机组启停成本和弃风成本之和最低为目标函数的优化调度策略。对建立的模型线性化处理后,采用MATLAB调用CPLEX和粒子群算法进行求解,通过设置不同的情景进行对比,验证了所提模型的有效性,并分析了不同固定掺氢比、变掺氢比、不同的阶梯碳交易参数对VPP低碳性和经济性的影响。
Under the dual carbon goals in 2030/2060,the low carbon policy and low carbon technology should be coordinated in order to achieve low carbon emissions.Therefore,a virtual power plant(VPP) containing the coupled P2G-CCS(power to gas and carbon capture system) and hydrogen-doped fuel gas is established in this paper.An optimal scheduling strategy of VPP based on the stepped carbon trading mechanism is proposed.Firstly,at the low carbon technology level,the mathematical models for hydrogen-doped gas turbine,hydrogen-doped gas boiler,two-stage power-to-gas(P2G) and carbon capture system are established for the P2G-CCS coupling and gas hydrogen-doped subsystem.At the level of low-carbon policy,a stepped carbon trading model is established to constrain the carbon emissions of the system.Based on the modeling,an optimal scheduling strategy is proposed,which takes the minimum sum of carbon transaction cost,gas purchase cost,coal consumption cost,carbon sequestration cost,unit start-up and shutdown cost and wind abandoning cost as the objective function.After the linearization of the established model,the CPLEX solver and the particle swarm optimization algorithm are used to solve the model.The effectiveness of the proposed model is verified by comparing different scenarios.The effects of this scheduling strategy under different fixed hydrogen ratios,variable hydrogen ratios and different ladder carbon trading parameters on the low carbon and economic performance of VPP are analyzed.
作者
陈登勇
刘方
刘帅
CHEN Dengyong;LIU Fang;LIU Shuai(School of Energy and Mechanical Engineering,Shanghai University of Electric Power,Pudong New District,Shanghai 201306,China)
出处
《电网技术》
EI
CSCD
北大核心
2022年第6期2042-2053,共12页
Power System Technology
基金
国家自然科学基金项目(52176012)
上海市自然科学基金项目(19ZR1420400)
新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司)开放基金项目(NYB51202001608)。
关键词
低碳
碳捕集
阶梯碳交易
掺氢比
虚拟电厂
low carbon
carbon capture
stepped carbon trading
hydrogen blending ratio
virtual power plant