A three-stage resilient dispatch of mobile emergency generators in a distribution system against hurricanes

被引:5
作者
Wu, Hao [1 ]
Xie, Yunyun [1 ]
Wu, Qiuwei [2 ]
Yu, Chen [3 ]
Sun, Jinsheng [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automation, Nanjing 210094, Jiangsu, Peoples R China
[2] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[3] NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing 211000, Peoples R China
基金
中国国家自然科学基金;
关键词
Mobile emergency generator; Three-stage model; Fault isolation; Forced cut-off of wind power; Distribution system; PROGRESSIVE HEDGING ALGORITHM; SERVICE RESTORATION; ENERGY-STORAGE; WIND POWER; RESOURCES; OPERATION;
D O I
10.1016/j.ijepes.2022.108844
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Mobile emergency generators (MEGs) have been widely used to enhance the resilience of distribution systems. However, the traditional two-stage MEG dispatch strategies focus on only the prepositioning and reallocation before and after hurricanes, neglecting the resilient operation during hurricanes. Therefore, this paper proposes a novel three-stage MEG dispatch model to enhance the resilience of distribution systems. To improve the sur-vivability of distribution systems during hurricanes, the fault isolation operations by remote-controlled switches (RCSs) and forced cut-off of wind power are coordinated with MEG dispatch, which is prepositioned as a pre-paredness measure before hurricanes. Based on the realization of fault scenarios during hurricanes, MEG real-location and fault isolation by manual switches (MSs) are conducted to boost the restoration of the distribution system after hurricanes. Considering the uncertainties of wind power cut-off and line faults, the proposed method is incorporated into a stochastic dispatch model, which takes the conditional value-at-risk (CVaR) as an objective function to improve robustness in extreme cases. In addition, the computational burden with multiple scenarios is reduced by the modified progressive hedging algorithm (PHA). Finally, the proposed method is validated on a modified IEEE 33-bus distribution system. Simulation results show that the survivability and restoration of the distribution system can be enhanced by the proposed approach.
引用
收藏
页数:12
相关论文
共 39 条
[1]   A Stochastic Framework for Optimal Island Formation During Two-Phase Natural Disasters [J].
Bahrami, Mahdi ;
Vakilian, Mehdi ;
Farzin, Hossein ;
Lehtonen, Matti .
IEEE SYSTEMS JOURNAL, 2022, 16 (02) :2090-2101
[2]   Robust coordination of multiple power sources for sequential service restoration of distribution systems [J].
Cai, Sheng ;
Xie, Yunyun ;
Wu, Qiuwei ;
Xiang, Zhengrong ;
Jin, Xiaolong ;
Zhang, Menglin .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 131
[3]   Adaptive Formation of Microgrids With Mobile Emergency Resources for Critical Service Restoration in Extreme Conditions [J].
Che, Liang ;
Shahidehpour, Mohammad .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (01) :742-753
[4]   Toward a MILP Modeling Framework for Distribution System Restoration [J].
Chen, Bo ;
Ye, Zhigang ;
Chen, Chen ;
Wang, Jianhui .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (03) :1749-1760
[5]  
Detlefsen NK, 2011, IEEE POW ENER SOC GE, DOI 10.1109/PES.2011.6038959
[6]   Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment [J].
Ding, Tao ;
Qu, Ming ;
Wang, Zekai ;
Chen, Bo ;
Chen, Chen ;
Shahidehpour, Mohammad .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (03) :2153-2164
[7]   Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method [J].
Fan, Yueyue ;
Liu, Changzheng .
NETWORKS & SPATIAL ECONOMICS, 2010, 10 (02) :193-208
[8]  
FEMA, MIT ASS TEAM REP HUR
[9]   Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses [J].
Gao, Haixiang ;
Chen, Ying ;
Mei, Shengwei ;
Huang, Shaowei ;
Xu, Yin .
PROCEEDINGS OF THE IEEE, 2017, 105 (07) :1214-1233
[10]   Applying different decomposition schemes using the progressive hedging algorithm to the operation planning problem of a hydrothermal system [J].
Goncalves, Raphael E. C. ;
Finardi, Erlon Cristian ;
da Silva, Edson Luiz .
ELECTRIC POWER SYSTEMS RESEARCH, 2012, 83 (01) :19-27