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Application of Particle Swarm Optimizer to Economic Load Dispatch Problemsud

机译:粒子群优化算法在经济负荷调度中的应用 ud

摘要

This project presents an efficient and reliable Particle Swarm Optimization (PSO) method for the Economic load dispatch (ELD) problems which is considered as one of the complex problems to be tackled. The PSO techniques have drawn much attention from the power system community and been successfully applied in many complex optimization problems in power systems. The PSO method was developed through the simulation of a simplified social system and has been found to be robust in solving continuous nonlinear optimization problems in terms of accuracy of the solution and computation time and it can out perform other algorithms.ud In this project, the proposed algorithm is applied for the ELD of three unit thermal plant systems.udud
机译:该项目提出了一种有效且可靠的粒子群优化(PSO)方法,用于解决经济负荷分配(ELD)问题,这是要解决的复杂问题之一。 PSO技术已引起电力系统界的广泛关注,并已成功应用于电力系统中许多复杂的优化问题。 PSO方法是通过对简化的社会系统进行仿真而开发的,已被发现在解决连续非线性优化问题方面具有很强的鲁棒性,其求解精度和计算时间均可以胜任其他算法。 ud在本项目中,所提出的算法适用于三单元热电厂系统的ELD。 ud ud

著录项

  • 作者

    Das Rosalin; Lakra Anupama;

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  • 年度 2009
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