Mathematical Dynamic Model for Long-Term Distribution System Planning

The presented model gives optimal values of all distribution system design parameters for a consumption area without existing network, in which uniform load density increases with time. The model belongs to a class of nonlinear mixed integer programming tasks, subject to nonlinear constraints. Trans...

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Vydáno v:IEEE transactions on power systems Ročník 1; číslo 1; s. 34 - 40
Hlavní autor: Mikic, Obrad M.
Médium: Journal Article Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.02.1986
Institute of Electrical and Electronics Engineers
Témata:
Applied sciences
Cost function
Electrical engineering. Electrical power engineering
Electrical power engineering
Energy loss
Exact sciences and technology
Investments
Linear programming
Load modeling
Mathematical model
Operation. Load control. Reliability
Power networks and lines
Power system modeling
Power system planning
Strategic planning
Voltage
Construction
Dynamic system
Electrical network
Planning
Long term
Modeling
Distribution network
ISSN:0885-8950
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Shrnutí:The presented model gives optimal values of all distribution system design parameters for a consumption area without existing network, in which uniform load density increases with time. The model belongs to a class of nonlinear mixed integer programming tasks, subject to nonlinear constraints. Transformation of dynamic problem into nondynamic form is performed using a defined planning strategy. Objective function of the model is the present value of system investment, maintenance and energy loss costs within a planning period. The constraints, among others (thermal, integer), are the permitted voltage drops in lines. The solution algorithm is described and results of model application for a rural area are given.
Bibliografie:SourceType-Scholarly Journals-2
ObjectType-Feature-2
ObjectType-Conference Paper-1
content type line 23
SourceType-Conference Papers & Proceedings-1
ObjectType-Article-3
ISSN:0885-8950
DOI:10.1109/TPWRS.1986.4334841