Fuzzy Controlled Parallel PSO to Solving Large Practical Economic Dispatch

Belkacem Mahdad (1) , Kamel Srairi (1) , Tarek Bouktir (2) , Mohamed Benbouzid (3)

1 LMSE - Laboratoire de Modélisation des Systèmes Energétiques
2 Département d'Electrotechnique
3 LBMS - Laboratoire brestois de mécanique et des systèmes

This paper presents a fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solving the large economic power dispatch with non-smooth cost fuel functions. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules, the adaptive PSO executed in parallel based in decomposed network procedure as a local search to enhance the search space around the global search. The robustness of the proposed modified PSO tested on 40 generating units with prohibited zones and compared with recent hybrid global optimization methods. The results show that the proposed approach can converge to the near solution and obtain a competitive solution at critical situation and with a reasonable time.

Mots clés: Parallel Genetic Algorithm; Decomposed Network; PSO; economic dispatch; Fuzzy logic; Fuzzy Controlled; Planning and control

Domaines: Energie électrique

Belkacem Mahdad, Kamel Srairi, Tarek Bouktir, Mohamed Benbouzid. Fuzzy Controlled Parallel PSO to Solving Large Practical Economic Dispatch. IEEE IECON 2010, Nov 2010, Phoenix, United States. pp.2695-2701, ⟨10.1109/IECON.2010.5675112⟩. ⟨hal-00564733⟩