Network reconfiguration and multi-level reactive power coordination optimization in active distribution network

被引:0
|
作者
Ye X. [1 ]
He K. [1 ]
Liu K. [1 ]
机构
[1] China Electric Power Research Institute Co., Ltd., Beijing
关键词
Active distribution network; Coordination optimization; Improved multi- objective harmony search algorithm; Reactive power; Reconfiguration;
D O I
10.19783/j.cnki.pspc.180889
中图分类号
学科分类号
摘要
Optimal control strategy is one of the key technologies to improve the consumptive ability of distributed generations, which is also an important guarantee of safety, economy, efficiency and high quality during the operation of active distribution network. To solve the problems caused by high penetration of distributed generations, such as power flow direction change, voltage uplift, load unbalance, etc., this paper proposes a coordination optimization strategy which combines topology reconfiguration and multi-level reactive power compensation devices (under-load tap changer, bus capacitor, and feeder capacitor). A multi-objective optimization model based on active power loss, load balancing index and voltage deviation index is established. Through parameter adaptive adjustment and harmony memory library dynamic modification method, an improved multi-objective harmony search algorithm is proposed to solve this optimization model, which can greatly improve convergence speed and optimization ability of the algorithm. A number of experiments with IEEE 33 node test systems in different cases and scenarios are carried out, the computation speed and optimization performance of improved multi-objective harmony search algorithm and multi-objective harmony search algorithm, basic multi-objective harmony search algorithm are compared. The results show that the model and algorithm are feasible and effective. © 2019, Power System Protection and Control Press. All right reserved.
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页码:115 / 123
页数:8
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共 20 条
  • [1] Li J., Yan H., Zhang Y., Et al., Comparison of locating and sizing methods of DGs between in micro-grids and in distribution network, Power System Protection and Control, 45, 4, pp. 147-154, (2017)
  • [2] Zhang X., Zhang N., Long F., Et al., Research of the impacts on static voltage stability of distribution networks with distributed generation from different aspects, Power System Protection and Control, 45, 6, pp. 120-125, (2017)
  • [3] Zhou X., Wang S., Zhang W., Et al., Multi-objective optimization of fixed series compensation in distribution network, Power System Protection and Control, 45, 24, pp. 115-122, (2017)
  • [4] Liu J., Yin H., Shang H., Et al., Voltage performance improvement by dichotomy based local control for power distribution networks with distributed generation, Power System Protection and Control, 44, 18, pp. 61-67, (2016)
  • [5] Wang C., Song G., Li P., Et al., A hybrid optimization method for distribution network operation with SNOP and tie switch, Proceedings of the CSEE, 36, 9, pp. 2315-2321, (2016)
  • [6] Liu Y., Wu W., Zhang B., Et al., A mixed integer second-order cone programming based active and reactive power coordinated multi-period optimization for active distribution network, Proceedings of the CSEE, 34, 16, pp. 2575-2583, (2014)
  • [7] Tolabi B., Ali H., Rizwan M.H., Et al., Reconfiguration, Optimal placement of DSTATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach, IEEE Transactions on Sustainable Energy, 1, 6, pp. 210-218, (2015)
  • [8] Eldurssi A.M., O'connell R.M.A., Fast Non- dominated sorting guided genetic algorithm for multi-objective power distribution system reconfiguration problem, IEEE Transactions on Power Systems, 30, 2, pp. 593-601, (2015)
  • [9] Yi H., Zhang B., Wang H., Et al., Distribution network dynamic reconfiguration method for improving distribution network's ability of accepting DG, Power System Technology, 40, 5, pp. 1431-1436, (2016)
  • [10] Cui T., Sun Y., Xu J., Et al., Reactive power optimization of power system based on improved genetic algorithm, Proceedings of the CSEE, 31, 19, pp. 43-50, (2011)