Coordinated Operation of Active-Reactive Power and Voltage Control for Active Distribution Network Considering Regulation of Energy Storage

被引：0
|
作者：
Liu H. [1 ]
Xu Z. [1 ]
Ge S. [1 ]
Yang W. [2 ]
Liu M. [1 ]
Zhu W. [2 ]
机构：
[1] Key Laboratory of the Ministry of Education on Smart Power Grids, Tianjin University, Tianjin
[2] Economic Technology Research Institute of State Grid Jiangxi Electric Power Corporation Limited, Nanchang
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Coordinated operation; Distributed generator; Energy storage; Voltage control;
D O I：
10.7500/AEPS20180313007
中图分类号：
学科分类号：
摘要：
In order to solve the problem of voltage violation of the distribution network caused by high penetration of renewable resources, a coordinated optimization method for active-reactive power considering the regulation effect of energy storage is proposed. From the theoretical aspect, the problem of voltage deviation brought by renewable energy is analyzed, and it is verified that the problem of voltage deviation can be solved from both aspects of active power and reactive power. The coordinated optimization model of active-reactive power is presented with the minimum total nodal voltage deviation as the objective function. In addition, the adaptive particle swarm optimization (APSO) algorithm based on distributive entropy is proposed to solve the mathematical problem. The validity and practicability of the proposed method is verified through case study. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码：51 / 58
页数：7
相关论文
共 21 条
  • [1] Wang Y., Wen F., Zhao B., Et al., Analysis and countermeasures of voltage violation problems caused by high-density distributed photovoltaics, Proceedings of the CSEE, 36, 5, pp. 1200-1206, (2016)
  • [2] Tao R., Li F., Li Y., Et al., MPPT strategy of photovoltaic station based on cloud distribution pattern and sunlight tracking, Automation of Electric Power Systems, 42, 5, pp. 25-33, (2018)
  • [3] Yang X., Liu Y., Li J., Reliability confidence interval calculation method for photovoltaic power station with energy storage based on quartile method, Transactions of China Electrotechnical Society, 32, 15, pp. 136-144, (2017)
  • [4] Haghdadi N., Copper J., Bruce A., Et al., A method to estimate the location and orientation of distributed photovoltaic systems from their generation output data, Renewable Energy, 108, pp. 390-400, (2017)
  • [5] Jia Q., Zhao M., Sun L., Et al., Planning for grid-connection of distributed PVs considering the sequential feature and correlation in active distribution network, Proceedings of the CSEE, 38, 6, pp. 1719-1728, (2018)
  • [6] Haghdadi N., Bruce A., Macgill I., Et al., Impact of distributed photovoltaic systems on zone substation peak demand, IEEE Transactions on Sustainable Energy, 9, 2, pp. 621-629, (2018)
  • [7] Calderaro V., Conio G., Galdi V., Et al., Optimal decentralized voltage control for distribution systems with inverter-based distributed generators, IEEE Transactions on Power Systems, 29, 1, pp. 230-241, (2014)
  • [8] Olivier F., Aristidou P., Ernst D., Et al., Active management of low-voltage networks for mitigating overvoltages due to photovoltaic units, IEEE Transactions on Smart Grid, 7, 2, pp. 926-936, (2016)
  • [9] Liu B., Liu F., Mei S., Et al., Optimal power flow in active distribution networks with on-load tap changer based on second-order cone programming, Automation of Electric Power Systems, 39, 19, pp. 40-47, (2015)
  • [10] Long C., Procopiou A.T., Ochoa L.F., Et al., Performance of OLTC-based control strategies for LV networks with photovoltaics, 2015 IEEE Power & Energy Society General Meeting
123