Day-ahead optimal scheduling method for incremental distribution network with high penetration of distributed photovoltaic

被引：0
|
作者：
Lu C. [1 ]
Guo L. [1 ]
Chai Y. [1 ]
Gao S. [1 ]
Sheng W. [2 ]
Xu B. [3 ]
机构：
[1] Key Laboratory for Smart Grid of the Ministry of Education (Tianjin University), Tianjin
[2] China Electric Power Research Institute, Beijing
[3] State Grid Anhui Electric Power Company, Hefei
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 18期
关键词：
Distributed photovoltaic; Energy storage system of user side; Incremental distribution network; Mixed integer second order cone programming; Multi-period cutting plane constraint;
D O I：
10.19783/j.cnki.pspc.181196
中图分类号：
学科分类号：
摘要：
Aimed at the day-ahead scheduling problem for incremental distribution network with high penetration of distributed photovoltaic and energy storage system at user side, an optimal scheduling model is established based on branch flow model. The model minimizes the total operating cost of the incremental distribution network operator and takes into account the adjustment of on load tap changer, static var compensator, reactive power control of the PV converter and charge and discharge of the energy storage system. The original model is a Quadratically Constrained Quadratic Programming (QCQP) due to voltage square and current square in the power flow constraints and current square in the loss part of the objective function. By linearization and second order cone relaxation, the original NP hard problem is transformed into a Mixed Integer Second Order Cone Programming (MISOCP). In order to ensure the precision of cone relaxation, a multi-period cutting plane constraint is proposed to calculate the optimal power flow in the distribution network, and it is added to each iterative optimization until cone relaxation error is reduced to a predetermined range. Finally, the effectiveness of the proposed scheduling method is verified by a simulation example in a practical project. © 2019, Power System Protection and Control Press. All right reserved.
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页码：90 / 98
页数：8
相关论文
共 21 条
  • [1] Hou J., Wu Z., Cui K., Review on key issues of releasing incremental distribution network investment business, Electric Power Construction, 38, 9, pp. 127-131, (2017)
  • [2] Xu X., Huang Y., Liu C., Et al., Influence of distributed photovoltaic generation on voltage in distribution network and solution of voltage beyond limits, Power System Technology, 34, 10, pp. 140-146, (2010)
  • [3] Fang J., Wen Z., Research on local adaptive voltage control strategy based on distributed PV, Power System Protection and Control, 43, 23, pp. 49-55, (2015)
  • [4] Li Z., Bao X., Shao Y., Et al., Studying accommodation ability of distributed photovoltaic considering various voltage regulation measures, Power System Protection and Control, 46, 8, pp. 10-16, (2018)
  • [5] Zhai J., Zhang Y., Liu S., Et al., Active control strategy on photovoltaic-storage systems based on extended PQ-QV-PV node, Power System Protection and Control, 46, 10, pp. 1-9, (2018)
  • [6] Chen Q., Zhao X., Gan D., Active-reactive scheduling of active distribution system considering interactive load and battery storage, Protection and Control of Modern Power Systems, 2, 2, pp. 320-330, (2017)
  • [7] Wu L., Jiang L., Hao X., Reactive power optimization of active distribution network based on optimal scenario generation algorithm, Power System Protection and Control, 45, 15, pp. 152-159, (2017)
  • [8] Chen L., Li H., Optimized reactive power supports using transformer tap stagger in distribution networks, IEEE Transactions on Smart Grid, 8, 4, pp. 1987-1996, (2017)
  • [9] Yang H.T., Liao J.T., MF-APSO-based multi-objective optimization for PV system reactive power regulation, IEEE Transactions on Sustainable Energy, 6, 4, pp. 1346-1355, (2015)
  • [10] Srivastava L., Singh H., Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch, IET Generation, Transmission & Distribution, 9, 8, pp. 727-739, (2015)
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