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Articles by W.M. Mansour
Total Records ( 3 ) for W.M. Mansour
  M.A. Ebrahim , K.A. El-Metwally , F.M. Bendary and W.M. Mansour
  This study demonstrates the use of a novel Particle Swarm Optimization (PSO) Technique for optimizing the parameters of blade pitch PID controller for wind power plant. A Proportional-Integral-Differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving a 3-phase synchronous generator connected to a large power system. The optimal PID parameters search is formulated as an optimization problem with a standard eigenvalue objective function. The system’s time domain simulation is then used in conjunction with the particle swarm optimizer to determine the controller gains taking into consideration the eigenvalue-based performance index. Simulation results significantly clarify the effectiveness of the proposed PSO based blade pitch controller and its flexibility towards improving the system’s dynamic behavior and enhancing the system’s stability under parameter uncertainties. The superiority of the proposed control technique over conventional PID controller is justified in presence of parameter uncertainties.
  M.A. Ebrahim , K.A. El-Metwally , F.M. Bendary and W.M. Mansour
  This study proposes a new power system stabilizer based on fuzzy systems. The new controller is applied to a wind turbine generating system comprising of a wind turbine driving a 3-phase synchronous generator connected to a large power system. The new controller significantly improves system performance. The enhancement in the dynamic response of the system is verified through simulation results of a system under different operating points and exposed to both small and large disturbances. Extension to the wind energy distributed generation based multi-machine case is also included to illustrate the effectiveness of the proposed stabilizer in damping power system swing mode oscillations that follow disturbances.
  W.M. Mansour , M.M. Salama , S.M. Abdelmaksoud and H.A. Henry
  Economic Load Dispatch (ELD) problem is one of the most important problems to be solved in the operation and planning of a power system. The main objective of the economic load dispatch problem is to determine the optimal schedule of output powers of all generating units so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. This study presents an application of Genetic Algorithm (GA) for solving the ELD problem to find the global or near global optimum dispatch solution. The proposed approach has been evaluated on 26-bus, 6-unit system with considering the generator constraints, ramp rate limits and transmission line losses. The obtained results of the proposed method are compared with those obtained from the Conventional Lambda Iteration Method and Particle Swarm Optimization (PSO) Technique. The results show that the proposed approach is feasible and efficient.
 
 
 
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