Enhanced Sine–Cosine Algorithm for Optimal Planning of Distribution Network by Incorporating Network Reconfiguration and Distributed Generation

One of the important directions of the current research trend in distribution network planning in the prevailing smart grid scenario, is to explore various possibilities to enhance the performance of these networks without expanding the existing infrastructure. This paper proposes an enhanced sine–c...

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Vydáno v:	Arabian journal for science and engineering (2011) Ročník 46; číslo 2; s. 1029 - 1051
Hlavní autoři:	Raut, Usharani, Mishra, Sivkumar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021 Springer Nature B.V
Témata:	Algorithms Current distribution Distributed generation Engineering Graph theory Humanities and Social Sciences multidisciplinary Multiple objective analysis Mutation Normality Optimization Performance assessment Rank tests Reconfiguration Reliability Research Article-Electrical Engineering Science Smart grid Statistical analysis Trigonometric functions Voltage stability Power loss Distributed generations Operation cost Distribution network reconfiguration Reliability index
ISSN:	2193-567X, 1319-8025, 2191-4281
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Abstract	One of the important directions of the current research trend in distribution network planning in the prevailing smart grid scenario, is to explore various possibilities to enhance the performance of these networks without expanding the existing infrastructure. This paper proposes an enhanced sine–cosine algorithm (ESCA) to obtain an optimally planned system by simultaneous incorporation of network reconfiguration (NR) and DG allocation. In the proposed algorithm, the SCA is enhanced with neighborhood search strategy and self-adapting levy mutation strategy to ensure proper balance between exploration and exploitation during different reconfiguration phases. A multi-objective function is formulated considering the reduction of total real power loss and annual operation costs with suitable weights without violating the system operating constraints. The proposed algorithm is successfully experimented on 33- and 69-bus distribution system with four distinct scenarios of NR and DG allocation, and its performance assessment is based on technical (total system active power loss index, overall voltage stability index and voltage profile improvement index), economic (total system operation cost index) and reliability (expected energy not supplied index) indices. As the computation of reliability index adds complexity to the problem, a graph theory-based algorithm is proposed for its accurate calculation. The obtained results showed the effectiveness of ESCA for solving simultaneous NR and DG allocation problem over other competitive algorithms, and its robustness is confirmed through a detailed statistical analysis such as plotting of box plots, normality checking and two nonparametric tests, namely Friedman ANOVA and Wilcoxon signed rank tests.
AbstractList	One of the important directions of the current research trend in distribution network planning in the prevailing smart grid scenario, is to explore various possibilities to enhance the performance of these networks without expanding the existing infrastructure. This paper proposes an enhanced sine–cosine algorithm (ESCA) to obtain an optimally planned system by simultaneous incorporation of network reconfiguration (NR) and DG allocation. In the proposed algorithm, the SCA is enhanced with neighborhood search strategy and self-adapting levy mutation strategy to ensure proper balance between exploration and exploitation during different reconfiguration phases. A multi-objective function is formulated considering the reduction of total real power loss and annual operation costs with suitable weights without violating the system operating constraints. The proposed algorithm is successfully experimented on 33- and 69-bus distribution system with four distinct scenarios of NR and DG allocation, and its performance assessment is based on technical (total system active power loss index, overall voltage stability index and voltage profile improvement index), economic (total system operation cost index) and reliability (expected energy not supplied index) indices. As the computation of reliability index adds complexity to the problem, a graph theory-based algorithm is proposed for its accurate calculation. The obtained results showed the effectiveness of ESCA for solving simultaneous NR and DG allocation problem over other competitive algorithms, and its robustness is confirmed through a detailed statistical analysis such as plotting of box plots, normality checking and two nonparametric tests, namely Friedman ANOVA and Wilcoxon signed rank tests.
Author	Raut, Usharani Mishra, Sivkumar
Author_xml	– sequence: 1 givenname: Usharani surname: Raut fullname: Raut, Usharani organization: Department of Electrical Engineering, International Institute of Information Technology, Bhubaneswar – sequence: 2 givenname: Sivkumar orcidid: 0000-0002-9749-0581 surname: Mishra fullname: Mishra, Sivkumar email: capgs.smishra@bput.ac.in, sivmishra@gmail.com organization: Department of Electrical Engineering, Centre for Advanced Post Graduate Studies, Biju Patnaik University of Technology
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SubjectTerms	Algorithms Current distribution Distributed generation Engineering Graph theory Humanities and Social Sciences multidisciplinary Multiple objective analysis Mutation Normality Optimization Performance assessment Rank tests Reconfiguration Reliability Research Article-Electrical Engineering Science Smart grid Statistical analysis Trigonometric functions Voltage stability
Title	Enhanced Sine–Cosine Algorithm for Optimal Planning of Distribution Network by Incorporating Network Reconfiguration and Distributed Generation
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