A Novel Probabilistic Technique for Optimal Allocation of Photovoltaic Based Distributed Generators to Decrease System Losses
  • Metaadatok
Tartalom: https://pp.bme.hu/eecs/article/view/10018
Archívum: PP Electrical Engineering and Computer Science
Gyűjtemény: 11th International Conference on Deregulated Electricity Market Issues in South Eastern Europe
Cím:
A Novel Probabilistic Technique for Optimal Allocation of Photovoltaic Based Distributed Generators to Decrease System Losses
Létrehozó:
Mohamed, Engy A.
Hegazy, Yasser G.
Othman, Mahmoud M.
Kiadó:
Budapest University of Technology and Economics (BME)
Dátum:
2016-09-30
Téma:
distributed generation, firefly method, optimization, planning
Tartalmi leírás:
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.
Nyelv:
angol
Típus:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Formátum:
application/pdf
Azonosító:
10.3311/PPee.10018
Forrás:
Periodica Polytechnica Electrical Engineering and Computer Science; Vol. 60, No. 4 (2016); 247-253
Kapcsolat:
Létrehozó:
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