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Application of Artificial Bee Colony Algorithm for Optimal Distribution Protection Design

机译:人工蜂群算法在配电网最优保护设计中的应用

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Today more electric utilities consider momentary outages as an important customer issue, primarily due to their impact on new types of fault-sensitive loads. In this paper Artificial Bee Colony (ABC) algorithm is used for multiobjective optimization of SAIFI, SAIDI and MAIFI_E grid reliability indices. Optimization is performed considering both the optimized allocation of protective devices and switches as well as the definition of the protection scheme to be employed in the reclosers and substation breakers: fuse saving or fuse blowing. The main goal of the paper is to adapt and test the ABC algorithm for a constrained, non-linear optimization problem with a non-differentiable objective function, inherent for a task of protection devices optimal allocation in a power grid. The algorithm is tested on a distribution system model with 51 buses in MATLAB. The results show an applicability and effectiveness of the proposed method for the specified problem.
机译:如今,越来越多的电力公司将瞬时停电视为重要的客户问题,这主要是因为瞬时断电会对新型故障敏感型负载产生影响。本文将人工蜂群算法(ABC)用于SAIFI,SAIDI和MAIFI_E网格可靠性指标的多目标优化。考虑保护装置和开关的优化分配以及在重合闸和变电站断路器中采用的保护方案的定义进行优化:节省保险丝或烧断保险丝。本文的主要目的是针对具有不可微分目标函数的约束非线性优化问题,对ABC算法进行调整和测试,这是电网保护设备优化分配任务所固有的。该算法在MATLAB中具有51条总线的配电系统模型上进行了测试。结果表明,所提方法对特定问题的适用性和有效性。

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