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首页> 外文期刊>IEEE transactions on industrial informatics >Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization
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Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization

机译：用随机漂移粒子群算法求解带发电机约束的电力经济调度问题

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This paper proposes the random drift particle swarm optimization (RDPSO) algorithm to solve economic dispatch (ED) problems from power systems area. The RDPSO is inspired by the free electron model in metal conductors placed in an external electric field, and it employs a novel set of evolution equations that can enhance the global search ability of the algorithm. Many nonlinear characteristics of a power generator, such as the ramp rate limits, prohibited operating zones and nonsmooth cost functions are considered when the proposed method is used in practice for optimizing the generators' operation. The performance of the RDPSO method is evaluated on three different power systems, and compared with that of other optimization methods in terms of the solution quality, robustness, and convergence performance. The experimental results show that the RDPSO method performs better in solving the ED problems than any other tested optimization techniques.
机译：提出了一种随机漂移粒子群算法（RDPSO）来解决电力系统区域经济调度（ED）问题。 RDPSO受置于外部电场中的金属导体中的自由电子模型的启发，它采用了一套新颖的演化方程，可以增强算法的全局搜索能力。在实践中使用建议的方法优化发电机的运行时，会考虑发电机的许多非线性特征，例如斜坡率限制，禁止的运行区域和不平稳的成本函数。 RDPSO方法的性能在三种不同的电源系统上进行了评估，并在解决方案质量，鲁棒性和收敛性能方面与其他优化方法进行了比较。实验结果表明，与其他任何经过测试的优化技术相比，RDPSO方法在解决ED问题方面表现更好。

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