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基于VPP碳流计算的多目标多时间尺度优化调度

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  • NETL
  • NSTL
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  • 维普
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.
Multi-objective Multi-timescale Optimal Scheduling Based on VPP Carbon Flow Calculation
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%.

carbon flow calculation for virtual power plantmulti-objective optimizationmulti-timescale schedulingnormalized normal constraint methoddynamic matrix control algorithm

于东民、王晓鹏、孙钦斐、杨晓辉、刘华南

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南昌大学信息工程学院,江西南昌 330031

国网北京市电力公司,北京 100041

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

国家自然科学基金国家电网科技项目

6196302661963026

2024

智慧电力
陕西省电力公司

智慧电力

CSTPCD北大核心
影响因子：0.831
ISSN：1673-7598
年,卷(期)：2024.52(1)
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