基于阶梯碳交易的含P2G-CCS耦合和燃气掺氢的虚拟电厂优化调度

Optimization of Virtual Power Plant Scheduling Coupling With P2G-CCS and Doped With Gas Hydrogen Based on Stepped Carbon Trading

“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.