考虑不确定性的楼宇综合能源系统日前调度  

Day-ahead scheduling of building integrated energy system considering uncertainty

作　　者：易文飞 张潼 岳东[2] 李来福 袁宇波 YI Wenfei;ZHANG Tong;YUE Dong;LI Laifu;YUAN Yubo(State Grid Jiangsu Electric Power Co.,Ltd.Research Institute,Nanjing 211103,China;College of Automation&College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]国网江苏省电力有限公司电力科学研究院,江苏南京211103 [2]南京邮电大学碳中和先进技术研究院,江苏南京210023

出　　处：《电力工程技术》2024年第4期166-176,共11页Electric Power Engineering Technology

基　　金：江苏省自然科学基金资助项目(BK20210056)。

摘　　要：综合能源系统能够实现多种形式能源的互补利用,随着分布式电源装机容量的急剧攀升,其间歇性和随机性也给系统的运行效率和运行安全带来了巨大挑战。为了应对源荷双侧不确定性对楼宇综合能源系统经济调度的影响,首先,分别考虑综合能源各子系统的运行特性,对电网、天然气网及各耦合设备进行建模。其次,基于温度、热辐射和热负荷之间的定量关系,构建楼宇用户的热室模型。继而,以最小化综合能源系统运行成本为优化目标,建立基于机会约束规划的楼宇综合能源系统日前优化调度模型,并通过凸松弛技术将非线性调度模型转化为易于求解的混合整数二阶锥规划问题。最后,在Python环境中进行仿真分析,利用CPLEX求解器求解。结果表明:所提模型及求解方法能够有效描述和处理系统的不确定性风险,促进新能源消纳,提升系统运行经济性。Integrated energy systems enable the complementary utilization of various forms of energy.With the rapid increase in installed capacity of distributed generations,their intermittency and randomness have posed significant challenges to the operational efficiency and safety of the system.To address the impact of uncertainties in both energy supply and demand on the economic scheduling of building integrated energy systems,this study first models the operational characteristics of each subsystem,including the power grid,natural gas network,and various coupled equipments.Next,a thermal cell model of the building users is constructed based on the quantitative relationship among temperature,thermal radiation,and thermal load.Then,a day-ahead optimization scheduling model for the building integrated energy systems is established with the objective of minimizing the operating cost.A chance-constrained programming approach is employed to convert the non-linear scheduling model into a mixed-integer second-order cone programming problem easy to solve.Finally,simulation analysis is conducted in the Python environment using the CPLEX solver.The results demonstrate that the proposed model and solution method are capable of effectively characterizing and addressing uncertainty risks in the system,facilitating the consumption of renewable energy,and improving the economic efficiency of system operation.

关 键 词：综合能源系统 多重不确定性 热室模型 机会约束 凸松弛 优化调度 

分 类 号：TM721[电气工程—电力系统及自动化]