摘要
针对冬季多能源耦合下的热电联产机组(combined heat and power,CHP)电功率调节能力受限于热功率输出,引起电-热联合系统灵活性不足的问题。该文提出了在网侧与负荷侧异质能流的惯性特征下计及用户温度动态响应以及动态反馈特性的联合优化运行方法。首先,从建立CHP可行域与运行点的分布特性出发,分析了可再生能源并网后CHP机组运行灵活性不足原因,并给出了不可运行点重新回归CHP运行域优化的措施。其次,构建了传输侧惯性、负荷侧惯性影响下用户温度动态响应的多时间耦合特征双层模型,上层目标为热电异构能源系统总成本最低,下层目标为用能总效用最低。最后,引入了机会约束规划来刻画可再生能源的不确定性,通过算例结果表明,该文所提出方法在保证大量CHP运行点重新收束情况下,实现了可再生能源消纳与用户用能体验的兼顾。
In view of the problem that the electric power regulation ability of the combined heat and power(CHP)units under the multi-energy coupling in winter is limited by the thermal power output so that the flexibility of the combined heat and power system becomes insufficient,this paper proposes a joint optimal operation considering the dynamic response and the dynamic feedback characteristics of the user temperature under the inertia characteristics of the heterogeneous energy flow on the grid side and the load side.Firstly,based on the distribution characteristics of the feasible regions and the operating points of the CHP,the reasons for the lack of operational flexibility of the CHP units after the integration of renewable energy are analyzed,and the measures for the re-recoil optimization of the non-operating points are given.Secondly,a bi-level model with the multi-time coupling characteristics of the user temperature dynamic response is constructed under the influence of the transmission side inertia and the load side inertia.The target of the upper layer is the lowest total cost of the thermoelectric heterogeneous energy system,and the target of the lower layer is the lowest total utility of the energy consumption.Finally,the chance constrained programming is introduced to describe the uncertainty of renewable energy.The results of the example show that the proposed method achieves the balance between the renewable energy consumption and the user energy experiences under the condition of ensuring the re-bunching of a large number of the CHP operating points.
作者
邢晓敏
张明洋
杨修宇
彭建
胡健民
袁少伟
XING Xiaomin;ZHANG Mingyang;YANG Xiuyu;PENG Jian;HU Jianmin;YUAN Shaowei(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University),Ministry of Education,Jilin 132012,Jilin Province,China;Urumqi Power Supply Company of State Grid Xinjiang Electric Power Co.,Urumqi 830011,Xinjiang Uygur Autonomous Region,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第3期1062-1071,共10页
Power System Technology
基金
新疆维吾尔自治区重点研发任务专项(2022B01016)
东北电力大学博士科研启动资金(BSJXM-2021206)。
关键词
双层优化
灵活性
惯性特性
动态响应特性
bi-level optimization
flexibility
inertial characteristics
dynamic response characteristics
