Optimal selection analysis method of MVDC distribution network planning considering urban scenario demand

被引:0
|
作者
Cao H. [1 ]
Wang T. [1 ]
Chen P. [1 ]
Gao C. [1 ]
Yang M. [2 ]
Zhang Z. [2 ]
Ouyang S. [2 ]
机构
[1] Grid Planning & Research Center, Guangdong Power Grid Co., Ltd., Guangzhou
[2] School of Electric Power, South China University of Technology, Guangzhou
关键词
Medium-voltage DC distribution network; Optimal selection analysis method; Planning; Urban scenario demand;
D O I
10.16081/j.epae.202101013
中图分类号
学科分类号
摘要
In view of the problem that there is no quantitative analysis method for the construction priority of multiple MVDC(Medium-Voltage DC) distribution networks in the urban distribution network planning, an optimal selection analysis method for MVDC distribution network planning objects considering the urban scenario demand is proposed. A comprehensive index system of urban MVDC distribution network planning and optimal selection is established from three aspects of power supply quality improvement demand, urban scenario demand and distribution network economy. In terms of power supply quality improvement demand, the gap between the target levels is considered. In terms of urban scenario demand, the construction limitations of MVAC(Medium-Voltage AC) distribution network and the construction driving force of MVDC distribution network are considered. And in terms of economy, the severity of power loss cost is concerned. Then, the qualitative indexes are quantified by cloud model, the comprehensive evaluation values of each distribution network are calculated based on the hierarchical additive weighting of Delphi entropy weight method, and the distribution networks are sorted according to the values. Under the constraint of annual total investment, the optimization of planning objects is realized by taking the maximum comprehensive evaluation value of scheme as the objective function, so as to arrange the construction priorities of multiple MVDC distribution networks. The distribution network in a certain region is taken as an example to verify the practicability of proposed method. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:77 / 83
页数:6
相关论文
共 21 条
  • [1] HAN Minxiao, XIE Wenqiang, CAO Wenyuan, Et al., Application scenario and system design of medium-voltage DC distribution network, Automation of Electric Power Systems, 43, 23, pp. 2-14, (2019)
  • [2] SUN Guomeng, QI Chen, HAN Bei, Et al., Research of key technology of AC/DC hybrid distribution network planning and operation, Distribution and Utilization, 33, 8, pp. 7-17, (2016)
  • [3] ZENG Rong, ZHAO Yuming, ZHAO Biao, Et al., A prospective look on research and application of DC power distribution technology, Proceedings of the CSEE, 38, 23, pp. 6791-6801, (2018)
  • [4] JIA Yulong, MI Zengqiang, LIU Liqing, Et al., Comprehensive optimization method of capacity configuration and ordered installation for distributed energy storage system accessing distribution network, Electric Power Automation Equipment, 39, 4, pp. 1-7, (2019)
  • [5] ZHOU Xianzheng, GUO Chuangxin, CHEN Wei, Et al., Joint planning of electricity-gas distribution network based on mixed integer second-order cone programming, Electric Power Automation Equipment, 39, 6, pp. 1-11, (2019)
  • [6] DIAS F M, CANIZES B, KHODR H, Et al., Distribution net-works planning using decomposition optimisation technique, IET Generation, Transmission & Distribution, 9, 12, pp. 1409-1420, (2015)
  • [7] CHEN Yuan, WANG Lu, HUANG Youzhen, Et al., Economic benefit evaluation model of distribution network planning based on multilevel extension evaluation method, Electric Power, 49, 10, pp. 159-164, (2016)
  • [8] GAN C K, PYDJANTO D, DJAPIC P, Et al., Strategic assessment of alternative design options for multivoltage-level distribution networks, IEEE Transactions on Power Systems, 29, 3, pp. 1261-1269, (2014)
  • [9] OUYANG Sen, CHEN Danling, LIU Liyuan, An optimized selection method of executive object for distribution network planning considering user demand, Electrical Measurement & Instrumentation, 55, 23, pp. 15-21, (2018)
  • [10] CHEN Danling, Evaluation and analysis of distribution network power consumption reliability based on electric energy data, (2019)