含P2G-CCHP的综合能源系统两阶段鲁棒优化模型  

Two-stage Robust Optimization Model for Integrated Energy System With P2G-CCHP

作　　者：陈莉[1,2] 杨飏[1] CHEN Li;YANG Yang(Nanjing Vocational Institute of Railway Technology,Nanjing 210031,China;Hohai University,Nangjing 210000,China)

机构地区：[1]南京铁道职业技术学院,南京210031 [2]河海大学,南京210000

出　　处：《电力学报》2022年第5期422-429,共8页Journal of Electric Power

基　　金：江苏省高铁安全中心开放基金项目(GTAQ2021009);“青蓝工程”优秀青年骨干教师培养项目(RC-QL20203)。

摘　　要：综合能源系统中可再生分布式能源(光伏等)和负荷需求的不确定性对综合能源系统运行的经济性和安全性提出了挑战。考虑了光伏和综合需求响应负荷方案的不确定性,建立了含P2G-CCHP的综合能源系统两阶段鲁棒优化模型,并基于C&CG算法对min-max-min结构的目标函数提出了模型求解方法。仿真结果表明,P2G装置改善了P2G-CCHP系统的电-气耦合,提高了系统运行的稳定性和经济性;基于C&CG算法的两阶段鲁棒优化模型可得到最恶劣场景下运行成本最低的调度方案,从而进一步降低系统的运行成本。The uncertainty of renewable distributed energy sources(photovoltaic,etc.)and load demand in integrated energy systems pose challenges to the economics and safety of integrated energy system operation.A two-stage robust optimization model for an integrated energy system with P2G-CCHP is established,and a robust optimization model based on a min-max-min structure is proposed,which takes into account the uncertainties of photovoltaic and integrated demand response load schemes.The simulation results show that the P2G device improves the electrical-pneumatic coupling of the P2G-CCHP system,and improves the stability and economy of the system operation;the two-stage robust optimization model based on the C&CG algorithm can obtain the scheduling with the lowest operating cost in the worst scenario scheme,thereby further reducing the operating cost of the system.

关 键 词：综合能源系统 P2G-CCHP 鲁棒优化 C&CG 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]