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Author

Abdellatif Hamouda

Other affiliations: Mechanics' Institute
Bio: Abdellatif Hamouda is an academic researcher from Université de Sétif. The author has contributed to research in topics: Economic dispatch & Differential evolution. The author has an hindex of 8, co-authored 16 publications receiving 399 citations. Previous affiliations of Abdellatif Hamouda include Mechanics' Institute.

Papers
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Journal ArticleDOI
01 Apr 2013
TL;DR: The proposed approach combines in the most effective way the properties of two of the most popular evolutionary optimization techniques now in use for power system optimization, the Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms.
Abstract: This paper presents the design and application of an efficient hybrid heuristic search method to solve the practical economic dispatch problem considering many nonlinear characteristics of power generators, and their operational constraints, such as transmission losses, valve-point effects, multi-fuel options, prohibited operating zones, ramp rate limits and spinning reserve. These practical operation constraints which can usually be found at the same time in realistic power system operations make the economic load dispatch problem a nonsmooth optimization problem having complex and nonconvex features with heavy equality and inequality constraints. The proposed approach combines in the most effective way the properties of two of the most popular evolutionary optimization techniques now in use for power system optimization, the Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms. To improve the global optimization property of DE, the PSO procedure is integrated as additional mutation operator. The effectiveness of the proposed algorithm (termed DEPSO) is demonstrated by solving four kinds of ELD problems with nonsmooth and nonconvex solution spaces. The comparative results with some of the most recently published methods confirm the effectiveness of the proposed strategy to find accurate and feasible optimal solutions for practical ELD problems.

176 citations

Journal ArticleDOI
16 Aug 2018-Energies
TL;DR: In this paper, a hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations.
Abstract: This paper presents an efficient approach for solving the optimal reactive power dispatch problem. It is a non-linear constrained optimization problem where two distinct objective functions are considered. The proposed approach is based on the hybridization of the particle swarm optimization method and the tabu-search technique. This hybrid approach is used to find control variable settings (i.e., generation bus voltages, transformer taps and shunt capacitor sizes) which minimize transmission active power losses and load bus voltage deviations. To validate the proposed hybrid method, the IEEE 30-bus system is considered for 12 and 19 control variables. The obtained results are compared with those obtained by particle swarm optimization and a tabu-search without hybridization and with other evolutionary algorithms reported in the literature.

47 citations

Journal ArticleDOI
TL;DR: In this article, a novel approach to size and locate capacitors in distribution feeders is presented, where the capacitors optimal sizes and locations are decoupled, node stability indices are used to suitably select the capacitor probable locations.

42 citations

Journal ArticleDOI
TL;DR: In this paper, a hybrid differential evolution algorithm with harmony search (DE-HS) is proposed to solve the multiobjective environmental/economic dispatch (EED) problems that feature nonsmooth cost curves.

41 citations


Cited by
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Journal ArticleDOI
TL;DR: A novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented to minimize network power loss and better voltage regulation in radial distribution systems.

920 citations

Journal ArticleDOI
TL;DR: A multi-population based approach is proposed to realize the adapted ensemble of multiple strategies of differential evolution, thereby resulting in a new DE variant named multi- Population ensemble DE (MPEDE) which simultaneously consists of three mutation strategies.

426 citations

Journal ArticleDOI
TL;DR: The success of EDEV reveals that, through an appropriate ensemble framework, different DE variants of different merits can support one another to cooperatively solve optimization problems.

293 citations

Journal ArticleDOI
TL;DR: A novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution systems to minimize network power losses, to obtain better voltage regulation, and to improve the voltage stability within the framework of system operation and security constraints in radial distribution systems.
Abstract: Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution systems. The objective is to minimize network power losses, to obtain better voltage regulation, and to improve the voltage stability within the framework of system operation and security constraints in radial distribution systems. This multi-objective optimization problem is transformed to single objective problem by employing fuzzy optimal theory. A detailed performance analysis is carried out on 33 and 69 bus systems to demonstrate the effectiveness of the proposed methodology.

226 citations

Journal ArticleDOI
TL;DR: In this article, a particle swarm optimization algorithm for finding the optimal location and sizing of DSTATCOM with the aim of reducing the total power loss along with voltage profile improvement of Radial Distribution System is proposed.

216 citations