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Integrated Planning for Distribution Automation and Network Capacity Expansion

Heidari, Saeed | 2018

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 50692 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. Implementing distribution automation system (DAS) in distribution networks needs a huge investment which 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. Similarly, DISCOs have network capacity expansion (NCX) plans which specify the scheme of construction of feeders and substations. Since considering DAS may lead to more efficient NCX plans, the planner should revise the NCX plan through the DAS planning. On the other hand, for DAS planning it is necessary to consider a NCX plan as a platform to determine the time and location for installation of automation equipment. Therefore the planner should simultaneously work on two plans, each of them affects the other. To facilitate this complicated planning procedure, this dissertation presents a novel method for integrated planning for NCX and DAS implementation. In the first step the modelling of DAS and its functions is perfomed. Then the method for reliability evaluation of distribution systems in planning studies is presented. In the next step a method for DAS planning is proposed assuming that the NCX plan has already been developed. This method considers all main hardware and software infrastructures of DAS and optimally determines the type, location and time in which an equipment or infrastructure must be added to the network. Then the integrated DAS and NCX planning method is proposed. This method develops one comprehensive plan in which the optimal scheme and schedule for construction of lines and substations and installation of automation equipment is specified. The objective function of the planning problems is to maximize the net present value of DISCO's profit in the planning time horizon. Several types of technical and standard-based limitations and the budget constraint of DISCO are applied to the problem. Also an asset management method is used to reduce the required investment cost. The optimization problems are solved using the genetic algorithm (GA) through some techniques such as combination and encoding of decision variables to reduce the huge computation burden. For integrated planning, due to the very large scale optimization problem, a GA-based method is proposed in which the whole problem is solved through the combination of two separate GAs for DAS and NCX planning. The proposed planning methods have been validated via numerical studies on an illustrative test network, and the obtained results verify the effectiveness of the presented methods for development of optimal plans for distribution automation and network capacity expansion
  9. Keywords:
  10. Distribution Automation ; Distribution System Reliability ; Network Capacity ; Distribution Automation ; Automatic Planning ; Network Capacity Expansion Planning ; Integrated Planning

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