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 proposes a version of fuzzy controlled parallel particle swarm optimization approach based decomposed network (FCP-PSO) to solve large nonconvex economic dispatch problems. The proposed approach combines practical experience extracted from global database formulated in fuzzy rules to adjust dynamically the three parameters associated to PSO mechanism search. The adaptive PSO executed in parallel based in decomposed network procedure as a local search to explore the search space very effectively. 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 with a reasonable time compared with recent previous approaches.

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. 2010 IEEE ENERGYCON, Dec 2010, Manama, Bahrain. pp.34-40. ⟨hal-00729057⟩