Dynamic Scheduling of Flexible Resources Based on Dual-time Scale Model Predictive Control

QING Chen; WEI Zhenbo; LIU Yang; LI Huaqiang

doi:10.13296/j.1001-1609.hva.2025.05.004

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Dynamic Scheduling of Flexible Resources Based on Dual-time Scale Model Predictive Control

The Key Technologies for Energy Conservation and Carbon Reduction in New Power Systems | 更新时间：2025-05-25

- Dynamic Scheduling of Flexible Resources Based on Dual-time Scale Model Predictive Control
- High Voltage Apparatus Vol. 61, Issue 5, Pages: 31-40(2025)
- 作者机构：
  
  四川大学电气工程学院，成都　 610065
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2025.05.004
  CLC：
- Received：10 December 2024，
  
  Revised：19 February 2025，
  
  Published：16 May 2025
- 稿件说明：
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QING Chen, WEI Zhenbo, LIU Yang, et al. Dynamic Scheduling of Flexible Resources Based on Dual-time Scale Model Predictive Control[J]. High voltage apparatus, 2025, 61(5): 31-40.
DOI：

QING Chen, WEI Zhenbo, LIU Yang, et al. Dynamic Scheduling of Flexible Resources Based on Dual-time Scale Model Predictive Control[J]. High voltage apparatus, 2025, 61(5): 31-40. DOI： 10.13296/j.1001-1609.hva.2025.05.004.

摘要

电力系统内的各类灵活性资源在小时、分钟等不同时间尺度下具有差异化的运行特性，同时，系统状态变量使不同时间尺度下的决策存在耦合。鉴于此，文中提出了一种考虑双时间尺度协调的电力系统灵活性资源动态调度方法。首先，建立风—光—火—储—荷双时间尺度运行模型，提出双时间尺度协调约束；其次，构建日内双时间尺度动态调度模型，长时间尺度下决策基准功率和备用容量，短时间尺度下确定备用调用容量；最后，提出平均模型预测控制算法，提升调度结果对预测数据的鲁棒性。算例结果表明：所提方法能有效提高不确定环境下双时间尺度耦合调度策略的质量，充分协调发挥多类型灵活性资源的灵活调节效用。可为新型电力系统优化调度提供参考。

Abstract

Various flexible resources in power system have differentiated operating characteristics under such different time scales as hours and minutes. At the same time

system state variables make the decision have coupling under different time scales. In view of this

a dynamic scheduling method of flexible resource considering dual-time scale coordination is proposed in this paper. Firstly

a dual-time scale operation model of wind-light-fire-storage-load is set up

and a dual-time scale coordination constraint is proposed. Then

a intra-day dynamic scheduling model is constructed to determine the reference power and standby capacity on a long time scale and the standby calling capacity on a short time scale. Finally

an average model predictive control algorithm is proposed to improve the robustness of scheduling results to forecast data. The example results show that the proposed method can effectively improve the quality of dual-time scale coupling scheduling strategy under uncertain environment

and fully coordinate the flexible adjustment effect of multi-types of flexible resource. It can provide reference for scheduling in new type of power system.

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