Distribution network expansion planning considering multiple active management schemes

被引：0
作者：
Xing H. [1 ,2 ]
Cheng H. [1 ,2 ]
Yang J. [1 ,2 ]
Hong S. [1 ,2 ]
Yang D. [1 ,2 ]
Wang C. [3 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University), Ministry of Education, Shanghai
[2] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[3] State Grid Beijing Electric Power Company, Beijing
来源：
Xing, Haijun (xinghj@sjtu.edu.cn) | 1600年 / Automation of Electric Power Systems Press卷 / 40期
关键词：
Active distribution network; Active management; Distribution network planning; Second-order cone planning;
D O I：
10.7500/AEPS20150904002
中图分类号：
学科分类号：
摘要：
A mixed integer second-order cone programming (SOCP) model for active distribution network (ADN) expansion planning is proposed, which minimizes the total investment and operation cost. Four active management schemes consisting of on load tape changer (OLTC) tap adjustment, distributed generator (DG) curtailment, load curtailment, and reactive power compensation are considered to cut the planning cost and future operation risks of the planning. The planning model allows alternatives to be considered for active management, new wiring, new substation, substation expansion and DG installation. The distribution network planning (DNP) problem is a mixed integer nonlinear programming problem. What with the active management and uncertainties, the DG integration has made the DNP problem considerably complicated. In order to find a polynomial time computable model, the DNP problem is converted to a SOCP model through power flow equations and constraint relaxation. A modified IEEE 33-bus system and Miranda 54-bus system are used to testify the proposed model. © 2016 Automation of Electric Power Systems Press.
引用
收藏
页码：70 / 76and167
相关论文
共 28 条
  • [1] Masters C.L., Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines, Power Engineering Journal, 16, 1, pp. 5-12, (2002)
  • [2] Chen P., Salcedo R., Zhu Q., Et al., Analysis of voltage profile problems due to the penetration of distributed generation in low-voltage secondary distribution networks, IEEE Trans on Power Delivery, 27, 4, pp. 2020-2028, (2012)
  • [3] Dent C.J., Ochoa L.F., Harrison G.P., Network distributed generation capacity analysis using OPF with voltage step constraints, IEEE Trans on Power Systems, 25, 1, pp. 296-304, (2010)
  • [4] Ipakchi A., Albuyeh F., Grid of the future, IEEE Power and Energy Magazine, 7, 2, pp. 52-62, (2009)
  • [5] Zhao B., Wang C., Zhou J., Et al., Present and future development trend of active distribution network, Automation of Electric Power Systems, 38, 18, pp. 125-135, (2014)
  • [6] Yu T., Liu G., Pu T., Et al., Multiple coordinated optimization control of active distribution network considering flexible load, Automation of Electric Power Systems, 39, 9, pp. 95-100, (2015)
  • [7] Xing H., Cheng H., Zhang S., Et al., Review of active distribution network planning, Power System Technology, 39, 10, pp. 2705-2711, (2015)
  • [8] Al Kaabi S.S., Zeineldin H., Khadkikar V., Planning active distribution networks considering multi-dg configurations, IEEE Trans on Power Systems, 29, 2, pp. 785-793, (2014)
  • [9] Li Z., Tian Y., Dong C., Et al., Distributed generators programming in distribution network involving vehicle to grid based on probabilistic power flow, Automation of Electric Power Systems, 38, 16, pp. 60-66, (2014)
  • [10] Xing H., Cheng H., Zhang Y., Et al., Active distribution network expansion planning integrating dispersed energy storage systems, IET Generation, Transmission & Distribution, 10, 3, pp. 638-644, (2016)
123