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首页> 外文期刊>Expert systems with applications >Generation maintenance scheduling in power systems using ant colony optimization for continuous domains based 0-1 integer programming
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Generation maintenance scheduling in power systems using ant colony optimization for continuous domains based 0-1 integer programming

机译：基于0-1整数规划的连续域蚁群优化在电力系统中的发电维护调度

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Department of Electrical Engineering, Behbahan Branch, Islamic Azad University - Behbahan-Iran;Department of Computer Engineering, Behbahan Branch, Islamic Azad University - Behbahan-Iran;%In this paper, we present a formulation that enables Ant Colony Optimization for Continuous Domains (ACO_R) to seek the optimal solution of the unit maintenance scheduling problem. ACO_R is a direct extension of Ant Colony Optimization (ACO). Also it is the significant ant-based algorithm for continuous optimization. For the maintenance scheduling, cost reduction is as important as reliability. The objective function of this algorithm considers the effect of economy as well as reliability. Various constraints such as spinning reserve, duration of maintenance crew are being taken into account. The ACO_R formulation developed is applied on a power system with six generating units. The simulation result of this technique is compared with those reported in literature. The outcome is very encouraging and proves that the authors' proposed approach outperforms them in terms of reaching a better optimal solution and speed.
机译：伊斯兰阿扎德大学Behbahan分校电气工程系-Behbahan-Iran；伊斯兰阿扎德大学Behbahan分校计算机工程系-Behbahan-Iran;％在本文中，我们提出了一种能够对连续域进行蚁群优化的公式（ ACO_R）以寻求单元维护计划问题的最佳解决方案。 ACO_R是蚁群优化（ACO）的直接扩展。这也是用于连续优化的重要的基于蚂蚁的算法。对于维护计划，降低成本与可靠性一样重要。该算法的目标函数考虑了经济性和可靠性的影响。考虑了各种限制因素，例如旋转储备，维护人员的时间。所开发的ACO_R公式适用于具有六个发电机组的电力系统。将该技术的仿真结果与文献报道进行了比较。结果非常令人鼓舞，并证明作者提出的方法在达到更好的最佳解决方案和速度方面优于他们。

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