Self-healing oriented supply restoration method based on the coordination of multiple SOPs in active distribution networks

Abstract Supply restoration from outages is essential for improving the self-healing ability of active distribution networks (ADNs). Soft open point (SOP) refers to a novel power electronic device installed to replace the traditional tie switch. Under fault situation, the coordination of multiple SOPs can provide voltage support and effectively expand the range of supply restoration. In this paper, a supply restoration method based on the coordination of multiple SOPs is proposed to improve the self-healing ability of ADNs. First, the coordinated service restoration strategy of multiple SOPs is proposed. Then, a self-healing oriented supply restoration method is proposed to restore loads from outages based on multiple SOPs. The contingency set is also established for practical application. Finally, the effectiveness of the proposed supply restoration method is validated on the IEEE 33-node distribution system. It shows that the proposed method can exploit the potential benefits of multiple SOPs and effectively improve the load recovery level of ADNs.

[1]  Swapan Kumar Goswami,et al.  Active and reactive dispatch with minimum control movements , 2013 .

[2]  Yi Liang,et al.  Short term load forecasting based on feature extraction and improved general regression neural network model , 2019, Energy.

[3]  Jianzhong Wu,et al.  Performance of an electrical distribution network with Soft Open Point during a grid side AC fault , 2017 .

[4]  Zichen Zhang,et al.  Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm , 2019, Nonlinear Dynamics.

[5]  Bikash C. Pal,et al.  Multi-Phase State Estimation Featuring Industrial-Grade Distribution Network Models , 2017, IEEE Transactions on Smart Grid.

[6]  Jianzhong Wu,et al.  Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions , 2019, IEEE Transactions on Smart Grid.

[7]  Zhicheng Li,et al.  Multi-objective Supply Restoration in Active Distribution Networks with Soft Open Points , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).

[8]  T. C. Green,et al.  Benefits of Distribution-Level Power Electronics for Supporting Distributed Generation Growth , 2013, IEEE Transactions on Power Delivery.

[9]  Jianhui Wang,et al.  Resilient Distribution System by Microgrids Formation After Natural Disasters , 2016, IEEE Transactions on Smart Grid.

[10]  Peng Li,et al.  An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks , 2017 .

[11]  Mostafa Sedighizadeh,et al.  Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty , 2016 .

[12]  Gérard Cornuéjols,et al.  An algorithmic framework for convex mixed integer nonlinear programs , 2008, Discret. Optim..

[13]  R. Jabr,et al.  Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming , 2012, IEEE Transactions on Power Systems.

[14]  Jianzhong Wu,et al.  Robust Operation of Soft Open Points in Active Distribution Networks With High Penetration of Photovoltaic Integration , 2019, IEEE Transactions on Sustainable Energy.

[15]  Steven H. Low,et al.  Branch Flow Model: Relaxations and Convexification—Part II , 2012 .

[16]  Si Liu,et al.  Modeling, nonlinear dynamical analysis of a novel power system with random wind power and it's control , 2013 .

[17]  Peng Li,et al.  Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators , 2019, Applied Energy.

[18]  Yang Zhang,et al.  Novel chaotic bat algorithm for forecasting complex motion of floating platforms , 2019, Applied Mathematical Modelling.

[19]  Jianzhong Wu,et al.  Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation , 2016 .

[20]  Mingrui Zhang,et al.  Islanding and Scheduling of Power Distribution Systems With Distributed Generation , 2015, IEEE Transactions on Power Systems.

[21]  Ehab F. El-Saadany,et al.  Incorporating load variation and variable wind generation in service restoration plans for distribution systems , 2013 .

[22]  Jianzhong Tong,et al.  Two-Stage Adaptive Restoration Decision Support System for a Self-Healing Power Grid , 2017, IEEE Transactions on Industrial Informatics.

[23]  Mostafa Sedighizadeh,et al.  Application of the hybrid Big Bang-Big Crunch algorithm to optimal reconfiguration and distributed generation power allocation in distribution systems , 2014 .

[24]  Juan Camilo Lopez,et al.  Centralized Self-Healing Scheme for Electrical Distribution Systems , 2016, IEEE Transactions on Smart Grid.

[25]  Tao Ding,et al.  A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration , 2017 .

[26]  Johan Löfberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004 .

[27]  Jianzhong Wu,et al.  Operating principle of Soft Open Points for electrical distribution network operation , 2016 .

[28]  Jianhui Wang,et al.  Power Distribution System Outage Management With Co-Optimization of Repairs, Reconfiguration, and DG Dispatch , 2018, IEEE Transactions on Smart Grid.

[29]  Seon-Ju Ahn,et al.  Operation Schemes of Smart Distribution Networks With Distributed Energy Resources for Loss Reduction and Service Restoration , 2013, IEEE Transactions on Smart Grid.

[30]  Jianzhong Wu,et al.  Benefits analysis of Soft Open Points for electrical distribution network operation , 2016 .

[31]  Nikolaos G. Paterakis,et al.  Multi-objective reconfiguration of radial distribution systems using reliability indices , 2016, 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).

[32]  Wei-Chiang Hong,et al.  Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model , 2018, Applied Energy.

[33]  Xin Chen,et al.  Robust Restoration Method for Active Distribution Networks , 2016, IEEE Transactions on Power Systems.

[34]  Peng Li,et al.  SOP-based islanding partition method of active distribution networks considering the characteristics of DG, energy storage system and load , 2018, Energy.

[35]  T. J. Overbye,et al.  Multiple Element Contingency Screening , 2011, IEEE Transactions on Power Systems.

[36]  Peng Li,et al.  A supply restoration method of distribution system based on Soft Open Point , 2016, 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).

[37]  Sanjay Mehrotra,et al.  Robust Distribution Network Reconfiguration , 2015, IEEE Transactions on Smart Grid.

[38]  Jianzhong Wu,et al.  Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point , 2017, IEEE Transactions on Sustainable Energy.

[39]  Angel A. Bayod-Rújula,et al.  Future development of the electricity systems with distributed generation , 2009 .

[40]  M. E. Baran,et al.  Optimal capacitor placement on radial distribution systems , 1989 .

[41]  Mario Paolone,et al.  Optimal Allocation of Dispersed Energy Storage Systems in Active Distribution Networks for Energy Balance and Grid Support , 2014, IEEE Transactions on Power Systems.