TY - CHAP
T1 - Binary Group Search Optimization for Distribution Network Reconfiguration
AU - Teimourzadeh, Hamid
AU - Mohammadi-Ivatloo, Behnam
AU - Asadi, Somayeh
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - In this chapter, the binary group search optimization algorithm (BGSO) is proposed to tackle with optimal network reconfiguration problem in distribution systems. Here, total loss minimization is considered as the objective which is solved subject to system radial operation and power flow constraints. Here, the basics of GSO algorithm is presented first and then, necessary modification for developing BGSO is discussed. The main part of this chapter deals with a source code, which expresses step by step implementation of BGSO method to optimal network reconfiguration problem. Needless to emphasize that the BGSO and associated source code presented in this chapter is a general engine that can be easily adjusted to any optimization problem with binary variables. In addition, the source code associated with the developed forward-backward sweep-based load flow study is also provided. The simulation studies are performed on different distribution networks to examine the scheme at various conditions and problem complexities. Comprehensive simulation studies conducted in this chapter verifies effectiveness of the BGSO and developed source code for solving optimal distribution network reconfiguration problem.
AB - In this chapter, the binary group search optimization algorithm (BGSO) is proposed to tackle with optimal network reconfiguration problem in distribution systems. Here, total loss minimization is considered as the objective which is solved subject to system radial operation and power flow constraints. Here, the basics of GSO algorithm is presented first and then, necessary modification for developing BGSO is discussed. The main part of this chapter deals with a source code, which expresses step by step implementation of BGSO method to optimal network reconfiguration problem. Needless to emphasize that the BGSO and associated source code presented in this chapter is a general engine that can be easily adjusted to any optimization problem with binary variables. In addition, the source code associated with the developed forward-backward sweep-based load flow study is also provided. The simulation studies are performed on different distribution networks to examine the scheme at various conditions and problem complexities. Comprehensive simulation studies conducted in this chapter verifies effectiveness of the BGSO and developed source code for solving optimal distribution network reconfiguration problem.
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U2 - 10.1007/978-3-030-34050-6_5
DO - 10.1007/978-3-030-34050-6_5
M3 - Chapter
AN - SCOPUS:85078185651
T3 - Studies in Systems, Decision and Control
SP - 103
EP - 126
BT - Studies in Systems, Decision and Control
PB - Springer
ER -