Optimal placement and capacity of distributed energy storage in distribution system based on the sensitivity variance of network loss

被引:0
|
作者
Du P. [1 ]
Mi Z. [1 ]
Jia Y. [1 ]
Lin L. [1 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Baoding
关键词
Distributed energy storage; Distribution network; Modified particle swarm optimization algorithm; Power loss; Sensitivity variance of network loss;
D O I
10.7667/PSPC180402
中图分类号
学科分类号
摘要
In view of typical daily load curve, a method of optimal placement and capacity of distributed energy storage in distribution system based on the sensitivity variance of network loss is proposed. In the method, the charging and discharging operation state of distributed energy storage are taken into account. The priority of all nodes in the distribution network to locate distributed energy storage based on the sensitivity variance of network loss is determined. Taking the distribution network loss and node voltage fluctuation as the objective function, the modified particle swarm algorithm is used to optimize the charging and discharging power of distributed energy storage. And the optimal capacity of distributed energy storage is determined. Finally, the simulation results show that the optimal method can effectively maximize the balance of power on the ground, optimize the network loss of the distribution network and lower the voltage fluctuation of the nodes, and achieve the optimal configuration of distributed energy storage in the distribution network. © 2019, Power System Protection and Control Press. All right reserved.
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页码:103 / 109
页数:6
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共 23 条
  • [1] Wang C., Sun W., Yi T., Et al., Review on energy storage application planning and benefit evaluation methods in smart grid, Proceedings of the CSEE, 33, 7, pp. 33-41, (2013)
  • [2] Li J., Ma H., Hui D., Present development condition and trends of energy storage technology in the integration of distributed renewable energy, Transactions of China Electrotechnical Society, 31, 14, pp. 1-10, (2016)
  • [3] Li J., Ma H., Yuan X., Et al., Overview on key applied Technologies of large-scale distributed energy storage, Power System Technology, 41, 10, pp. 3365-3375, (2017)
  • [4] Macrae C., Ozlen M., Ernst A., Et al., Locating and sizing energy storage systems for distribution feeder expansion planning, TENCON 2015-2015 IEEE Region 10 Conference, pp. 1-6, (2015)
  • [5] Thrampoulidis C., Bose S., Hassibi B., Optimal placement of distributed energy storage in power networks, IEEE Transactions on Automatic Control, 61, 2, pp. 416-429, (2016)
  • [6] Carpinelli G., Celli G., Mocci S., Et al., Optimal integration of distributed energy storage devices in smart grids, IEEE Transactions on Smart Grid, 4, 2, pp. 985-995, (2013)
  • [7] Hung D.Q., Mithulananthan N., Community energy storage and capacitor allocation in distribution systems, Power Engineering Conference, pp. 1-6, (2011)
  • [8] Hung D.Q., Mithulananthan N., Multiple distributed generator placement in primary distribution networks for loss reduction, IEEE Transactions on Industrial Electronics, 60, 4, pp. 1700-1708, (2012)
  • [9] Nick M., Hohmann M., Cherkaoui R., Et al., Optimal location and sizing of distributed storage systems in active distribution networks, 2013 IEEE Grenoble Conference, pp. 1-6, (2013)
  • [10] Wu X., Liu Z., Tian L., Et al., Energy storage device locating and sizing for distribution network based on improved multi-objective particle swarm optimizer, Power System Technology, 38, 12, pp. 3405-3411, (2014)