摘要
为了促进多能源互补及能源低碳化,提出了计及电转气协同的含碳捕集与垃圾焚烧虚拟电厂优化调度模型。通过引入碳捕集电厂–电转气–燃气机组协同利用框架,碳捕集的CO2可作为电转气原料,生成的天然气则供应给燃气机组;并通过联合调度将碳捕集能耗和烟气处理能耗进行负荷转移以平抑可再生能源波动,使得风电/光伏实现间接可调度而被灵活利用。鉴于所建优化模型具有高维非线性的特点,求解难度大,设计一种新型的反余切复合微分进化算法对模型进行求解。仿真结果表明,所提出的模型和方法具备削峰填谷效用并能提升可再生能源消纳,可有效降低虚拟电厂成本和碳排放量。
In order to promote multi-energy complementation and low carbonization, an optimal scheduling model of virtual power plant(VPP) with carbon capture and waste incineration considering power-to-gas coordination is proposed. By introducing the collaborative utilization framework with a carbon capture plant-power to gas(P2 G)-gas unit system, the CO2 in the carbon capture can be used as the raw material of P2 G, which produces natural gas to be supplied to the gas unit. In addition, the power consumption of the carbon capture and the flue gas treatment can be transferred through joint dispatching to smooth the fluctuation of renewable energy output, so that the wind power and photovoltaic can be indirectly dispatchable and flexibly utilized. In view of the high dimensional nonlinearity of the proposed optimization model and the difficulty in solving it, a new anti-cotangent compound differential evolution algorithm is designed to solve the model. The simulation results show that the proposed model and method can provide peak load shifting capacity and improve renewable energy consumption, effectively reducing the cost and carbon emission of VPP.
作者
孙惠娟
刘昀
彭春华
蒙锦辉
SUN Huijuan;LIU Yun;PENG Chunhua;MENG Jinhui(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,Jiangxi Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第9期3534-3544,共11页
Power System Technology
基金
国家自然科学基金项目(51867008)
江西省自然科学基金项目(20192ACBL20007,20202BAB204024)
江西省主要学科学术和技术带头人项目(20204BCJL22038)
江西省教育厅科技项目(GJJ1903013)
江西省研究生创新资金项目(YC2019-S239)。
关键词
电转气
碳捕集
垃圾焚烧
优化调度
复合微分进化算法
power-to-gas
carbon capture
waste incineration
optimization scheduling
compound differential evolution algorithm
