:: Volume 8, Issue 1 (4-2017) ::
IJOR 2017, 8(1): 15-43 Back to browse issues page
A Mixed Integer Programming Approach to Optimal Feeder Routing for Tree-Based Distribution System: A Case Study
M. Fallah Dr., Amir Mohajeri Dr. , Mahdi Jamshidi Mr.
Islamic Azad University , amir.mohajeri@iauctb.ac.ir
Abstract:   (1493 Views)
A genetic algorithm is proposed to optimize a tree-structured power distribution network considering optimal cable sizing. For minimizing the total cost of the network, a mixed-integer programming model is presented determining the optimal sizes of cables with minimized location-allocation cost. For designing the distribution lines in a power network, the primary factors must be considered as maximum allowable electrical flow in cables, permitted length of cables, maximum permitted voltage drops, and balance of load. The relationship between rates of electric current and cable sizes with consideration of constraints such as voltage drops and length are our essential data. To create a network with a minimum number of arcs and no closed loop such that all the nodes are covered, a minimum spanning tree technique is utilized. Here, we solve the problem using a genetic optimization algorithm and apply the offered approach to a real problem. By comparing the two extracted results from the proposed approach and an exact method, effectiveness of the genetic algorithm for optimization of power distribution network is shown. To demonstrate the validity of the offered model, a case study in Tehran power distribution company in Iran is made.
Keywords: Power distribution network, Minimum spanning tree, Location-allocation, distribution transformer, Feeder, Phase
Full-Text [PDF 1251 kb]   (776 Downloads)    
Type of Study: Original | Subject: Production/Inventory
Received: 2018/04/3 | Accepted: 2018/04/3 | Published: 2018/04/3

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Volume 8, Issue 1 (4-2017) Back to browse issues page