Distribution Systems Restoration with Multi-Energy Synergy

被引：0
作者：
Chen H. [1 ]
Cong Q. [1 ]
Jiang T. [1 ]
Zhang R. [1 ]
Li X. [1 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 03期
关键词：
Active splitting; Distribution network; Greedy algorithm; Integrated energy system; Multi-energy synergy;
D O I：
10.19595/j.cnki.1000-6753.tces.201544
中图分类号：
学科分类号：
摘要：
The multi-energy synergy makes the operation of the distribution systems more flexible, which provides a new idea for the distribution systems restoration. This paper proposed an active splitting control strategy for the distribution systems via the multi-energy synergy. A multi-energy flow network model of electric-gas-thermal integrated energy systems is formulated. Then, the active splitting alternative control and coordination control strategies for distribution systems are proposed considering the multi-energy synergy which includes load transfer of energy consumption type and power generation support. Further, an active splitting model of distribution network coupled multi-energy is developed with the reasonable control strategy and distribution system topology to restore more loads and higher load matching with regard of the load priority and controllability. And then, the active splitting strategy is solved by using the greedy algorithm (GA). The proposed method is evaluated by a distribution system coupled with heat and natural gas network, which comprise PG& E 69 distribution system, 32-node heat network and 11-node natural gas network. The results demonstrate the proposed active splitting strategy can significantly restore more loads of the distribution systems with taking into account of the multi-energy synergy. © 2022, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码：610 / 622and685
相关论文
共 24 条
  • [1] IEEE 1547 Standard for interconnecting distributed resources with electric power systems, (2003)
  • [2] Xu Yin, Liu Chenching, Schneider K P, Et al., Microgrids for service restoration to critical load in a resilient distribution system, IEEE Transactions on Smart Grid, 9, 1, pp. 426-437, (2018)
  • [3] Xu Yin, He Jinghan, Wang Ying, Et al., A review on distribution system restoration for resilience enhancement, Transactions of China Electrotechnical Society, 34, 16, pp. 3416-3429, (2019)
  • [4] Atwa Y M, El-Saadany E F., Reliability evaluation for distribution system with renewable distributed generation during islanded mode of operation, IEEE Transactions on Power Systems, 24, 2, pp. 572-581, (2009)
  • [5] Caldon R, Stocco A, Turri R., Feasible of adaptive intentional islanding operation of electric utility systems with distributed generation, Electric Power Systems Research, 78, 12, pp. 2017-2023, (2008)
  • [6] Shariatzadeh F, Vellaithurai C B, Biswas S S, Et al., Real-time implementation of intelligent reconfiguration algorithm for microgrid, IEEE Transactions on Sustainable Energy, 5, 2, pp. 598-607, (2014)
  • [7] Wang Xudong, Lin Jikeng, Island partition of the distribution system with distributed generation based on branch and bound algorithm, Proceedings of the CSEE, 31, 7, pp. 16-20, (2011)
  • [8] Liu Wei, Xie Wenjun, Sun Minggang, Et al., Research on networked support power supply of urban rail power supply system based on hierarchical optimization, Transactions of China Electrotechnical Society, 36, 1, pp. 2306-2314, (2021)
  • [9] Dong Xiaofeng, Lu Yuping, Islanding algorithm for distributed generators based on improved prim algorithm, Power System Technology, 34, 9, pp. 195-201, (2010)
  • [10] Yao Yuhai, Zhang Xuan, Qi Weiqiang, Et al., Island partition of the distribution system based on Dijkstra algorithm, Power System Protection and Control, 45, 24, pp. 36-43, (2017)
123