A Novel Probabilistic Technique for Optimal Allocation of Photovoltaic Based Distributed Generators to Decrease System Losses

  • Engy A. Mohamed
  • Yasser G. Hegazy
  • Mahmoud M. Othman

Abstract

This paper presents a novel algorithm for modeling photovoltaic based distributed generators for the purpose of optimal planning of unbalanced distribution networks. The proposed algorithm utilizes sequential Monte Carlo method in order to accurately consider the stochastic nature of photovoltaic based distributed generators. An efficient algorithm based on Firefly optimization method is proposed for optimal placement of photovoltaic based distributed generators in unbalanced distribution network. The proposed optimization algorithm aims to minimize the annual energy loss by determining the optimal locations of photovoltaic distributed generators. The proposed algorithms are implemented in MATLAB environment and tested on the IEEE 37-node feeder. Several case studies are conducted to prove the effectiveness of the proposed algorithms. The results obtained are presented and discussed.

Keywords: distributed generation, firefly method, optimization, planning
Published online
2016-09-16
How to Cite
Mohamed, E. A., Hegazy, Y. G., Othman, M. M. “A Novel Probabilistic Technique for Optimal Allocation of Photovoltaic Based Distributed Generators to Decrease System Losses”, Periodica Polytechnica Electrical Engineering and Computer Science, 60(4), pp. 247-253, 2016. https://doi.org/10.3311/PPee.10018
Section
11th International Conference on Deregulated Electricity Market Issues in South Eastern Europe