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作 者:许雅淋 段俊东[1,2] XU Yalin;DUAN Jundong(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454150,China;Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment,Jiaozuo 454003,China)
机构地区:[1]河南理工大学电气工程与自动化学院,河南焦作454150 [2]河南省煤矿装备智能检测与控制重点实验室,河南焦作454003
出 处:《热力发电》2024年第8期105-115,共11页Thermal Power Generation
基 金:国家自然科学基金项目(61703144)。
摘 要:在“双碳”目标背景下,为实现微电网系统的低碳排放和风电消纳最大化,提出了一种含碳捕集电厂(carbon capture power plant,CCPP)及电转气(power-to-gas,P2G)耦合的综合能源系统(integrated energy system,IES)和电车入网(vehicle to grid,V2G)的双层模型优化调度策略。首先,在低碳技术层面上,针对CCPP和P2G设备在时间上运行不同步的问题,在CCPP和P2G设备中间加设储液罐作为CO_(2)的缓冲站,建立含CCPP、P2G设备、燃气轮机的数学模型并建立阶梯碳交易对IES进行低碳排放约束;其次,为了充分发挥电动汽车负荷和储能的双重特性,以IES的弃风时段和高峰时段制定策略引导电动汽车进行充放电,来进行能量时移;最后,在经济效益层面上,以综合运行成本最低为目标函数,采用MATLAB调用GUROBI求解器进行求解。通过设置不同场景进行对比,结果表明,该调度策略能在提高微电网风电消纳水平的同时,实现系统的低碳经济运行。Under the“dual-carbon”background,in order to realize low-carbon emission and maximize wind power consumption of the microgrid system,an optimal scheduling strategy with a two-layer model of integrated energy system(IES)containing carbon capture power plant(CCPP)and power-to-gas(P2G)coupling and vehicle into the grid(V2G)is proposed.Firstly,at the low-carbon technology level,to address the problem that the CCPP and P2G equipment operate out of sync in time,a liquid storage tank is added as a CO_(2) buffer station in the middle of the CCPP and the P2G equipment,and a mathematical model containing the CCPP,the P2G equipment and the gas turbine is established.Moreover,a laddered carbon transaction is established to impose low-carbon emission constraints on the IES.Secondly,in order to fully utilize the dual characteristics of EV load and energy storage,strategies are formulated to guide EV charging and discharging during wind abandonment hours and peak hours of the IES to carry out energy time shifting.Finally,at the level of economic efficiency,the integrated operating cost minimization is taken as the objective function,and MATLAB is used to invoke the GUROBI solver to solve the problem.By setting up different scenarios for comparison,the results show that the scheduling strategy can improve the level of microgrid wind power consumption while realizing the low-carbon economic operation of the system.
分 类 号:TK01[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]
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