考虑太阳能辅助碳捕集技术的综合能源生产单元随机低碳调度策略  

Stochastic Low-carbon Scheduling Strategy of Integrated Energy Production Unit Considering Solar-assisted Carbon Capture Technology

作　　者：崔杨[1] 徐扬[1] 张节潭 王茂春 付小标 CUI Yang;XU Yang;ZHANG Jietan;WANG Maochun;FU Xiaobiao(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,Jilin Province,China;State Grid Qinghai Electric Power Company,Xining 810008,Qinghai Province,China;State Grid Jilin Electric Power Company,Changchun 130012,Jilin Province,China)

机构地区：[1]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市132012 [2]国网青海省电力公司,青海省西宁市810008 [3]国网吉林省电力有限公司,吉林省长春市130012

出　　处：《中国电机工程学报》2024年第14期5574-5587,I0011,共15页Proceedings of the CSEE

摘　　要：为解决综合能源生产单元(integrated energy production unit,IEPU)中燃煤机组碳捕集过程的高能耗问题,同时应对新能源不确定性对运行调度带来的挑战,该文提出一种考虑太阳能辅助碳捕集技术的IEPU随机低碳调度策略,旨在实现IEPU的多能协同与低碳运行。首先,对含太阳能辅助碳捕集热电联产单元(combined heat and power based on solar-assisted carbon capture,CHP-SACC)的能量流动与运行机理进行分析,并构建其运行模型;其次,考虑风电不确定性带来的影响,提出一种基于条件最小二乘生成对抗网络(conditional-least squares generative adversarial networks,C-LSGANs)的可再生能源场景生成方法来提高场景的生成质量;然后,考虑异质能流耦合约束、多元设备运行约束以及能量平衡约束等,以最大化系统运行收益期望为目标构建IEPU随机低碳调度模型;最后,在算例仿真中设置不同的运行策略验证所提低碳转型方案的有效性,并分析了能源价格、设备容量等因素对系统运行收益的影响。To solve the problem of high energy consumption in the carbon capture process of coal-fired units in the integrated energy production unit(IEPU),and to deal with the challenges brought by the uncertainty of new energy sources to the operation scheduling,this paper proposes a stochastic low-carbon scheduling strategy for IEPU considering solar-assisted carbon capture technology,aiming to achieve multi-energy coordination and low-carbon operation of IEPU.First,the energy flow and operation mechanism of combined heat and power integrated units based on solar-assisted carbon capture(CHP-SACC)are analyzed,and its operation model is also constructed.Second,a renewable energy scenario generation method based on conditional-least squares generative adversarial networks(C-LSGANs)is proposed to improve the quality of scenario generation considering the impact of wind power uncertainty.Then,considering different energy flow coupling constraints,multi-device operation constraints and energy balance constraints,the IEPU stochastic low-carbon scheduling model is constructed to maximize the system operation revenue expectation.Finally,the effectiveness of the proposed low-carbon transition scheme is verified by setting different operation strategies in the case simulation,and the impact of energy price,equipment capacity and other factors on the system operation benefit is analyzed.

关 键 词：综合能源生产单元 生成对抗网络 风电不确定性 随机低碳调度 

分 类 号：TM73[电气工程—电力系统及自动化]