Short-circuit constrained distribution network reconfiguration considering closed-loop operation

被引:8
作者
Macedo, Leonardo H. [1 ]
Home-Ortiz, Juan M. [1 ]
Vargas, Renzo [2 ]
Mantovani, Jose R. S. [1 ]
Romero, Ruben [1 ]
Catalao, Joao P. S. [3 ,4 ]
机构
[1] Sao Paulo State Univ, Dept Elect Engn, Ave Brasil 56, BR-15385000 Ilha Solteira, SP, Brazil
[2] Fed Univ ABC Santo Andre, Ctr Engn Modeling & Appl Social Sci, Ave Estados 5001, BR-09210580 Santo Andre, SP, Brazil
[3] FEUP, R Dr Roberto Frias, P-4200465 Porto, Portugal
[4] INESC TEC Porto, R Dr Roberto Frias, P-4200465 Porto, Portugal
基金
巴西圣保罗研究基金会;
关键词
Closed-loop operation; Distribution network reconfiguration; Renewable energy sources; Short-circuit; Stochastic programming; GENERATION; SYSTEMS;
D O I
10.1016/j.segan.2022.100937
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a novel scenario-based stochastic mixed-integer second-order cone programming model to solve the problem of optimal reconfiguration of distribution systems with renewable energy sources considering short-circuit constraints. The proposed formulation minimizes technical losses by modifying the statuses of sectionalizing and tie switches, allowing the operation of distribution networks with radial and closed-loop topologies. Since the formation of loops could impact fault current levels, short-circuit constraints are considered in the problem formulation. Numerical experiments are carried out using an 84-node system and the results demonstrate the effectiveness of the proposed formulation to reduce technical losses notably when a closed-loop operation is allowed. Additionally, it is verified that short-circuit constraints prevent the adoption of network configurations with high short-circuit values. (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:8
相关论文
共 21 条
[1]   Meshed distribution network vs reinforcement to increase the distributed generation connection [J].
Alvarez-Herault, M. -C. ;
N'Doyec, N. ;
Gandioli, C. ;
Hadjsaid, N. ;
Tixador, P. .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2015, 1 :20-27
[2]  
[Anonymous], 2013, IBM ILOG CPLEX optimization studio
[3]  
[Anonymous], 2022, LAPSEE POWER SYSTEM
[4]   Feasibility study of upgrading primary feeders from radial and open-loop to normally closed-loop arrangement [J].
Chen, TH ;
Huang, WT ;
Gu, JC ;
Pu, GC ;
Hsu, YF ;
Guo, TY .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (03) :1308-1316
[5]   Assessment of optimal distribution network reconfiguration results using stochastic dominance concepts [J].
Chicco, Gianfranco ;
Mazza, Andrea .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2017, 9 :75-79
[6]   Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems [J].
Chiou, JP ;
Chang, CF ;
Su, CT .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :668-674
[7]   OPF solution for a real Czech urban meshed distribution network using a genetic algorithm [J].
Foltyn, Ladislav ;
Vysocky, Jan ;
Prettico, Giuseppe ;
Beloch, Michal ;
Praks, Pavel ;
Fulli, Gianluca .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2021, 26
[8]  
Fourer R., 2002, AMPL: A Modeling Language for Mathematical Programming, V2nd
[9]  
Gonen T., 2008, Electric power distribution system engineering, V2nd
[10]   Distribution Network Reconfiguration to Increase Photovoltaic Hosting Capacity [J].
Jacob, Roshni Anna ;
Zhang, Jie .
2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,