Loading...

Planning to equip the power distribution networks with automation system

Heidari, S ; Sharif University of Technology

600 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/TPWRS.2017.2650210
  3. Abstract:
  4. Implementing automation system in distribution networks needs a huge investment that usually cannot be funded entirely in a short period of time. So distribution companies (DISCOs) should develop long-term plans to equip their network with automation technologies as far as economically justifiable. Aiming to provide a methodology for development such plans, this paper presents a novel multistage planning model for implementing distribution automation system considering all main hardware and software infrastructures. The proposed method optimally determines the type, location, and time in which an equipment or infrastructure must be added to network considering the network capacity expansion plan. The objective function of the planning problem is to maximize the net present value of the DISCO's profit in the planning time horizon. In this method, the optimization problem is solved using the genetic algorithm approach as a promising technique in solving the mixed integer nonlinear programming problems. The proposed method is evaluated on an illustrative test network and the obtained results are presented and discussed. © 1969-2012 IEEE
  5. Keywords:
  6. Distribution automation system (DAS) ; Distribution company (DISCO) ; Distribution system planning (DSP) ; Genetic algorithm ; Genetic algorithms ; Integer programming ; Investments ; Nonlinear programming ; Optimization ; Automation technology ; Distribution automation system ; Distribution companies ; Distribution system planning ; Distribution system reliability ; Genetic algorithm approach ; Mixed integer non-linear programming problems ; Power distribution network ; Automation
  7. Source: IEEE Transactions on Power Systems ; Volume 32, Issue 5 , 2017 , Pages 3451-3460 ; 08858950 (ISSN)
  8. URL: https://ieeexplore.ieee.org/document/7811219