Optimization of tap settings & capacitor units with expert system on distribution system

Mingtian Fan; Zuping Zhang; Chin E. Lin

Optimization of tap settings & capacitor units with expert system on distribution system

Mingtian Fan, Zuping Zhang, Chin E. Lin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An expert system method for discrete VAR optimization on distribution system is presented in this paper. The expert system can aid the planning engineers to make an initial feasible solution, and to decide the position of transformer tap settings and the number of capacitor units. The proposed expert system combined with the Mixed-Integer Programming (MIP) method can solve the discrete VAR planning problem. The tap setting optimization is discussed in detail. A numerical simulation using practical system condition with significant results is demonstrated. The proposed method is effective to solve the VAR optimization problem.

Original language	English
Title of host publication	Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering
Publisher	Publ by IEEE
Pages	292-295
Number of pages	4
ISBN (Print)	0780312333
Publication status	Published - 1993 Dec 1
Event	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering - Beijing, China Duration: 1993 Oct 19 → 1993 Oct 21

Publication series

Name	Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering

Other

Other	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering
City	Beijing, China
Period	93-10-19 → 93-10-21

All Science Journal Classification (ASJC) codes

Engineering(all)

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Fan, M., Zhang, Z., & Lin, C. E. (1993). Optimization of tap settings & capacitor units with expert system on distribution system. In Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering (pp. 292-295). (Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering). Publ by IEEE.

Fan, Mingtian ; Zhang, Zuping ; Lin, Chin E. / Optimization of tap settings & capacitor units with expert system on distribution system. Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering. Publ by IEEE, 1993. pp. 292-295 (Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering).

@inproceedings{545127f70c014f0ab5a0146e08b98ba9,

title = "Optimization of tap settings & capacitor units with expert system on distribution system",

abstract = "An expert system method for discrete VAR optimization on distribution system is presented in this paper. The expert system can aid the planning engineers to make an initial feasible solution, and to decide the position of transformer tap settings and the number of capacitor units. The proposed expert system combined with the Mixed-Integer Programming (MIP) method can solve the discrete VAR planning problem. The tap setting optimization is discussed in detail. A numerical simulation using practical system condition with significant results is demonstrated. The proposed method is effective to solve the VAR optimization problem.",

author = "Mingtian Fan and Zuping Zhang and Lin, {Chin E.}",

year = "1993",

month = dec,

day = "1",

language = "English",

isbn = "0780312333",

series = "Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering",

publisher = "Publ by IEEE",

pages = "292--295",

booktitle = "Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering",

note = "Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering ; Conference date: 19-10-1993 Through 21-10-1993",

}

Fan, M, Zhang, Z & Lin, CE 1993, Optimization of tap settings & capacitor units with expert system on distribution system. in Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering. Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering, Publ by IEEE, pp. 292-295, Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering, Beijing, China, 93-10-19.

Optimization of tap settings & capacitor units with expert system on distribution system. / Fan, Mingtian; Zhang, Zuping; Lin, Chin E.

Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering. Publ by IEEE, 1993. p. 292-295 (Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - An expert system method for discrete VAR optimization on distribution system is presented in this paper. The expert system can aid the planning engineers to make an initial feasible solution, and to decide the position of transformer tap settings and the number of capacitor units. The proposed expert system combined with the Mixed-Integer Programming (MIP) method can solve the discrete VAR planning problem. The tap setting optimization is discussed in detail. A numerical simulation using practical system condition with significant results is demonstrated. The proposed method is effective to solve the VAR optimization problem.

AB - An expert system method for discrete VAR optimization on distribution system is presented in this paper. The expert system can aid the planning engineers to make an initial feasible solution, and to decide the position of transformer tap settings and the number of capacitor units. The proposed expert system combined with the Mixed-Integer Programming (MIP) method can solve the discrete VAR planning problem. The tap setting optimization is discussed in detail. A numerical simulation using practical system condition with significant results is demonstrated. The proposed method is effective to solve the VAR optimization problem.

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