Two-stage Coordinated Frequency Regulation Control Model for Thermal Power and Energy Storage Based on Stochastic Model Predictive Control

TANG Zao; LIU Jia; LIU Yikui; LIU Tingjian; ZENG Pingliang; WANG Dong

doi:10.7500/AEPS20220525010

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Two-stage Coordinated Frequency Regulation Control Model for Thermal Power and Energy Storage Based on Stochastic Model Predictive Control

Basic Research | 更新时间：2025-06-16

- Two-stage Coordinated Frequency Regulation Control Model for Thermal Power and Energy Storage Based on Stochastic Model Predictive Control
- Automation of Electric Power Systems Vol. 47, Issue 3, Pages: 86-95(2023)
- 作者机构：
  
  1.杭州电子科技大学自动化学院,浙江省杭州市 310018
  2.斯蒂文斯理工,霍博肯 07030,美国
  3.四川大学电气工程学院,四川省成都市 610045
  4.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52207085)
- DOI：10.7500/AEPS20220525010
  CLC：
- Received：25 May 2022，
  
  Revised：2022-08-19，
  
  Published Online：23 November 2022，
  
  Published：10 February 2023
- 稿件说明：
移动端阅览
唐早,刘佳,刘一奎等.基于随机模型预测控制的火电-储能两阶段协同调频控制模型[J].电力系统自动化,2023,47(3):86-95.

TANG Zao,LIU Jia,LIU Yikui,et al.Two-stage Coordinated Frequency Regulation Control Model for Thermal Power and Energy Storage Based on Stochastic Model Predictive Control[J].Automation of Electric Power Systems,2023,47(3):86-95.
唐早,刘佳,刘一奎等.基于随机模型预测控制的火电-储能两阶段协同调频控制模型[J].电力系统自动化,2023,47(3):86-95. DOI： 10.7500/AEPS20220525010.

TANG Zao,LIU Jia,LIU Yikui,et al.Two-stage Coordinated Frequency Regulation Control Model for Thermal Power and Energy Storage Based on Stochastic Model Predictive Control[J].Automation of Electric Power Systems,2023,47(3):86-95. DOI： 10.7500/AEPS20220525010.

摘要

相比于单一类型的储能单元，混合储能在提升火电机组灵活性方面具有更优的表现，但不同资源禀赋特性的混合储能与火电机组的配合将显著增加协同调频的难度。因此，提出了一种基于随机模型预测控制的火电-储能两阶段协同调频控制模型，将整个控制周期划分为粗粒度和精粒度两种不同时间尺度。在粗粒度方面，提出了计及调频信号不确定性的火电-储能调频控制模型，通过构建储能充放电切换模型，限制能量型储能频繁切换，延长其使用寿命，同时引入非预期性约束来获得全场景可行的能量型储能运行状态方案。在精粒度方面，以最小化调频成本为目标，计及设备自身和调频偏差约束，优化求解火电-储能混合系统其余的控制方案。从调节速率、精度与响应时间三个方面，对所提调频控制模型进行调频效果评价。最后，以某地区发电机组实际数据为例进行分析，验证了所提模型调频效果的有效性与经济性。

Abstract

Compared with energy storage with single-type units

the hybrid energy storage has better performance in improving the flexibility of thermal power units. However

the combination of hybrid energy storage with different resource endowment characteristics and thermal power units will significantly increase the difficulty in coordinated frequency regulation. Therefore

this paper proposes a two-stage coordinated frequency regulation control model for thermal power and energy storage based on stochastic model predictive control

which divides the entire control cycle into two different time scales: coarse granularity and fine granularity. On coarse granularity

the frequency regulation control model for the thermal power and energy storage considering the uncertainty of frequency regulation signal is proposed

and the frequent switching of energy storage is limited and its service life is prolonged by constructing the energy storage charging and discharging switching model. On the other hand

by introducing unexpected constraints

a feasible energy-based energy storage operation state scheme for the whole scenario is obtained. On fine granularity

with the goal of minimizing the cost of frequency regulation

taking into account the constraints of the equipment itself and frequency regulation deviation

the optimal solution of the rest of the control schemes for the thermal power and energy storage hybrid system is made. The frequency regulation effect of the proposed frequency regulation control model is evaluated in terms of regulation rate

accuracy and response time. Finally

taking the actual data of the generator set in a certain area as an example

the effectiveness and economy of the frequency regulation effect of the proposed model are verified.

关键词

Keywords

references

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