Using genetic alghoritm for distributed generation allocation to reduce losses and improve voltage profile

Alinejad Beromi, Y ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/UPEC.2007.4469077
  3. Publisher: 2007
  4. Abstract:
  5. This paper presents a method for the optimal allocation of Distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for voltage profile improvement and loss reduction in distribution network. Genetic Algorithm (GA) was used as the solving tool, which referring two determined aim; the problem is defined and objective function is introduced. Considering to fitness values sensitivity in genetic algorithm process, there is needed to apply load flow for decision-making. Load flow algorithm is combined appropriately with GA, till access to acceptable results of this operation. We used MATPOWER package for load flow algorithm and composed it with our Genetic Algorithm. The suggested method is programmed under MATLAB software and applied ETAP software for evaluating of results correctness. It was implemented on part of Tehran electricity distributing grid. The resulting operation of this method on some testing system is illuminated improvement of voltage profile and loss reduction indexes
  6. Keywords:
  7. Allocation ; Distributed generation ; Distribution networks ; Distribution systems ; Fitness values ; Load flows ; Loss reductions ; MATLAB software ; Objective functions ; Optimal allocations ; Testing systems ; Voltage profile ; Voltage profile improvements ; Distributed parameter networks ; Distribution of goods ; Electric loads ; MATLAB ; Genetic algorithms
  8. Source: 42nd International Universities Power Engineering Conference, UPEC 2007, Brighton, 4 September 2007 through 6 September 2007 ; 2007 , Pages 954-959 ; 1905593368 (ISBN); 9781905593361 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4469077