基于VPP碳流计算的多目标多时间尺度优化调度  

Multi-objective Multi-timescale Optimal Scheduling Based on VPP Carbon Flow Calculation

作　　者：于东民 王晓鹏 孙钦斐 杨晓辉[1] 刘华南 YU Dongmin;WANG Xiaopeng;SUN Qinfei;YANG Xiaohui;LIU Huanan(School of Information Engineering,Nanchang University,Nanchang 330031,China;State Grid Beijing Electric Power Company,Beijing 100041,China)

机构地区：[1]南昌大学信息工程学院,江西南昌330031 [2]国网北京市电力公司,北京100041

出　　处：《智慧电力》2024年第1期30-38,共9页Smart Power

基　　金：国家自然科学基金资助项目(61963026);国家电网有限公司科技项目(5108-202218280A-2-383-XG)。

摘　　要：为研究虚拟电厂低碳经济运行策略,以虚拟电厂能流和碳流模型为基础,执行了多目标多时间尺度优化调度。首先,基于碳流走向建立虚拟电厂低碳经济运行的非线性多目标规划模型,并采用归一化法向约束法进行求解。然后,建立了基于动态矩阵控制算法的有限时域优化模型,对日前结果进行跟踪优化和反馈校正,以降低不确定性因素的影响。最后,仿真对比实验验证了所提调度策略能在保证碳流计算精度超过95%的前提下实现虚拟电厂低碳经济运行。In order to study the low-carbon economic operation strategy for the virtual power plant,a multi-objective multi-timescale optimal scheduling is executed based on the energy flow model and carbon flow model of the virtual power plant.Firstly,a nonlinear multi-objective planning model for the low-carbon economic operation of the virtual power plant is established based on the carbon flow direction and is solved by the normalized normal constraint method.Then a finite-time-domain optimization model based on dynamic matrix control algorithm is built,and the tracking optimization and feedback correction for day-ahead results are used to reduce the influence of uncertainty factors.Finally,the simulation comparison experiment verifies that the proposed scheduling strategy can realize the low-carbon and economic operation of the virtual power plant,ensuring that the carbon flow calculation accuracy exceeds 95%.

关 键 词：虚拟电厂碳流计算 多目标优化 多时间尺度调度 归一化法向约束法 动态矩阵控制算法 

分 类 号：TM732[电气工程—电力系统及自动化]