Power Supply Restoration Strategy for Distribution Network Based on Robust Model Prediction Control

Yunyun XIE; Zhengting YANG; Sheng CAI; Dong WANG; Xiong CHEN; Yun ZOU

doi:10.7500/AEPS20201022003

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Power Supply Restoration Strategy for Distribution Network Based on Robust Model Prediction Control

Application Research | 更新时间：2025-06-16

- Power Supply Restoration Strategy for Distribution Network Based on Robust Model Prediction Control
- Automation of Electric Power Systems Vol. 45, Issue 23, Pages: 123-131(2021)
- 作者机构：
  
  1.南京理工大学自动化学院，江苏省南京市 210094
  2.国网淮安供电公司，江苏省淮安市 223002
  3.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(61773214)
- DOI：10.7500/AEPS20201022003
  CLC：
- Received：22 October 2020，
  
  Revised：2021-04-29，
  
  Published Online：19 August 2021，
  
  Published：10 December 2021
- 稿件说明：
移动端阅览
谢云云,杨正婷,蔡胜等.基于鲁棒模型预测控制的配电网供电恢复策略[J].电力系统自动化,2021,45(23):123-131.

XIE Yunyun,YANG Zhengting,CAI Sheng,et al.Power Supply Restoration Strategy for Distribution Network Based on Robust Model Prediction Control[J].Automation of Electric Power Systems,2021,45(23):123-131.
谢云云,杨正婷,蔡胜等.基于鲁棒模型预测控制的配电网供电恢复策略[J].电力系统自动化,2021,45(23):123-131. DOI： 10.7500/AEPS20201022003.

XIE Yunyun,YANG Zhengting,CAI Sheng,et al.Power Supply Restoration Strategy for Distribution Network Based on Robust Model Prediction Control[J].Automation of Electric Power Systems,2021,45(23):123-131. DOI： 10.7500/AEPS20201022003.

摘要

随着微网技术的发展，配电网发生故障后，利用配电网中的微网为停电负荷提供应急供电，可以减小配电网停电范围，提高配电网的弹性。由于微网内可再生能源出力和负荷需求存在不确定性，现有研究主要采用单时步随机优化方法生成供电恢复策略。然而，由于准确的概率分布模型较难获得，且单时步优化方法仅优化未来一个时间段的运行方案，忽略了多个时间段中状态的相关性，降低了运行的效率。为此，文中提出了基于鲁棒模型预测控制的弹性运行策略。首先，以每个控制周期内多个时步的成本最低为优化目标，建立了基于鲁棒模型预测控制的优化决策模型。由于该模型是min-max问题，难以直接求解，可采用强对偶理论将其转换为单层混合整数模型。最后，采用IEEE 69节点配电系统对所提方法的有效性进行了验证。

Abstract

With the development of microgrid technology

after the distribution network fails

microgrids in the distribution network can be employed to provide emergency power supply to the outage load

which can reduce the power outage range and improve the power supply reliability. Due to the uncertainties of renewable energy output and load demand in the microgrid

the existing studies mainly adopt single-time-step stochastic optimization methods to generate power supply restoration strategies. However

the accurate probability distribution model is difficult to obtain

and single-time-step optimization methods only optimize the operation scheme for the next one time period and ignore the relevance of states in multiple time periods

which results in a decrease in operation efficiency. Therefore

this paper proposes a resilience operation strategy based on robust model predictive control (RMPC). First

with the lowest cost of multiple time steps in each control cycle as the optimization goal

an optimal decision-making model based on RMPC is established. Since the proposed model is formulated as a min-max problem and cannot be solved directly

the strong duality theory is adopted to transform it into a single-layer mixed-integer model. Finally

the IEEE 69-bus distribution system is used to verify the effectiveness of the proposed method.

关键词

Keywords

references

张磐，唐萍，丁一，等 . 考虑分布式发电波动性的有源配电网故障恢复策略［J］. 电力系统及其自动化学报， 2018 ， 30 （ 1 ）： 115 - 120 .

ZHANG Pan ， TANG Ping ， DING Yi ， et al . Service restoration strategy considering the volatility of distribution generations for active distribution network ［J］. Proceedings of the CSU-EPSA ， 2018 ， 30 （ 1 ）： 115 - 120 .

于文鹏，刘东，翁嘉明 . 含分布式电源的配电网供电恢复模型及改进贪婪算法［J］. 电力系统自动化， 2013 ， 37 （ 24 ）： 23 - 30 .

YU Wenpeng ， LIU Dong ， WENG Jiaming . A power restoring model for distribution network containing distributed generators and improved greedy algorithm ［J］. Automation of Electric Power Systems ， 2013 ， 37 （ 24 ）： 23 - 30 .

孙洁，王增平，王英男，等 . 含分布式电源的复杂配电网故障恢复［J］. 电力系统保护与控制， 2014 ， 42 （ 2 ）： 56 - 62 .

SUN Jie ， WANG Zengping ， WANG Yingnan ， et al . Service restoration of complex distribution system with distributed generation ［J］. Power System Protection and Control ， 2014 ， 42 （ 2 ）： 56 - 62 .

董志辉，林凌雪，管霖，等 . 基于多代理技术的有源配电网供电恢复策略［J］. 电力自动化设备， 2019 ， 39 （ 5 ）： 22 - 29 .

DONG Zhihui ， LIN Lingxue ， GUAN Lin ， et al . Service restoration strategy of active distribution network based on multi-agent technology ［J］. Electric Power Automation Equipment ， 2019 ， 39 （ 5 ）： 22 - 29 .

娄铖伟，张筱慧，丛鹏伟，等 . 含柔性软开关的有源配电网故障恢复策略［J］. 电力系统自动化， 2018 ， 42 （ 1 ）： 23 - 31 .

LOU Chengwei ， ZHANG Xiaohui ， CONG Pengwei ， et al . Service restoration strategy of active distribution network with soft open points ［J］. Automation of Electric Power Systems ， 2018 ， 42 （ 1 ）： 23 - 31 .

ARIF A ， WANG Z Y . Networked microgrids for service restoration in resilient distribution systems ［J］. IET Generation ， Transmission & Distribution， 2017 ， 11 （ 14 ）： 3612 - 3619 .

YAO S H ， WANG P ， LIU X C ， et al . Rolling optimization of mobile energy storage fleets for resilient service restoration ［J］. IEEE Transactions on Smart Grid ， 2020 ， 11 （ 2 ）： 1030 - 1043 .

陈昕玥，唐巍，陈禹，等 . 基于机会约束规划含光伏发电的配电网故障恢复［J］. 电网技术， 2014 ， 38 （ 1 ）： 99 - 106 .

CHEN Xinyue ， TANG Wei ， CHEN Yu ， et al . Chance constrained programming based fault recovery of distribution network containing photovoltaic generations ［J］. Power System Technology ， 2014 ， 38 （ 1 ）： 99 - 106 .

GAO H ， CHEN Y ， XU Y ， et al . Resilience-oriented critical load restoration using microgrids in distribution systems ［J］. IEEE Transactions on Smart Grid ， 2016 ， 7 （ 6 ）： 2837 - 2848 .

文娟，谭阳红，何怡刚，等 . 含分布式电源的复杂配电网多阶段故障恢复方法［J］. 电工技术学报， 2018 ， 33 （ 14 ）： 3332 - 3341 .

WEN Juan ， TAN Yanghong ， HE Yigang ， et al . A multi-stage service restoration method for complex distribution networks with distributed generators ［J］. Transactions of China Electrotechnical Society ， 2018 ， 33 （ 14 ）： 3332 - 3341 .

CHEN X ， WU W C ， ZHANG B M . Robust restoration method for active distribution networks ［J］. IEEE Transactions on Power Systems ， 2016 ， 31 （ 5 ）： 4005 - 4015 .

CAMACHO E F ， BORDONS C . Commercial model predictive control schemes ［M］. London， UK ： Springer ， 2007 .

CHEN B ， CHEN C ， WANG J H ， et al . Multi-time step service restoration for advanced distribution systems and microgrids ［J］. IEEE Transactions on Smart Grid ， 2018 ， 9 （ 6 ）： 6793 - 6805 .

LIU X D ， SHAHIDEHPOUR M ， LI Z Y ， et al . Microgrids for enhancing the power grid resilience in extreme conditions ［J］. IEEE Transactions on Smart Grid ， 2017 ， 8 （ 2 ）： 589 - 597 .

ZOU T ， DING B ， ZHANG R . Introduction to model predictive control ［M］. Beijing， China ： Chemical Industry Press ， 2010 ．

CAI S ， XIE Y Y ， WU Q W ， et al . Robust MPC-based microgrid scheduling for resilience enhancement of distribution system ［J］. International Journal of Electrical Power & Energy Systems ， 2020 ， 121 ： 106068 .

ZHANG M L ， FANG J K ， AI X M ， et al . Feasibility identification and computational efficiency improvement for two-stage RUC with multiple wind farms ［J］. IEEE Transactions on Sustainable Energy ， 2020 ， 11 （ 3 ）： 1669 - 1678 .

WU W C ， CHEN J H ， ZHANG B M ， et al . A robust wind power optimization method for look-ahead power dispatch ［J］. IEEE Transactions on Sustainable Energy ， 2014 ， 5 （ 2 ）： 507 - 515 .

BARAN M E ， WU F F . Network reconfiguration in distribution systems for loss reduction and load balancing ［J］. IEEE Transactions on Power Delivery ， 1989 ， 4 （ 2 ）： 1401 - 1407 .

TAYLOR J A ， HOVER F S . Convex models of distribution system reconfiguration ［J］. IEEE Transactions on Power Systems ， 2012 ， 27 （ 3 ）： 1407 - 1413 .

YEH H G ， GAYME D F ， LOW S H . Adaptive VAR control for distribution circuits with photovoltaic generators ［J］. IEEE Transactions on Power Systems ， 2012 ， 27 （ 3 ）： 1656 - 1663 .

WANG Z Y ， WANG J H . Service restoration based on AMI and networked MGs under extreme weather events ［J］. IET Generation ， Transmission & Distribution， 2017 ， 11 （ 2 ）： 401 - 408 .

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