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首页> 外文期刊>International journal of electrical and power engineering >Constructive Method For Electrical Power System Reconfiguration Using Ant Colony Algorithm
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Constructive Method For Electrical Power System Reconfiguration Using Ant Colony Algorithm

机译：基于蚁群算法的电力系统重构的构造方法

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This electric power distribution system delivers power to the customers from a set of distribution substations. While, the transmission lines are configured in a meshed network, the distribution feeders are configured radially in almost all cases. The proposed problem in this research is to determine the optimal topology among a various alternatives. This problem is known as a problem of total investment-cost minimization, subject to power constraints. In fact, the study addresses an ant colony met-heuristic optimization method to solve this combinatorial problem. Due to the variation of demand the reconfiguration may be considered in 2 different situations. First, in the system planning or system design stage. The proposed met-heuristic determines the minimal investment-cost system configuration during the considered study period to satisfy power transit constraints. The Ant Colony Approach Algorithm (ACA) is required to identify the optimal combination of adding or cut off feeders with different parameters for the new topology design.
机译：该配电系统从一组配电变电站向客户供电。传输线配置为网状网络，而配电馈线几乎在所有情况下均配置为放射状。本研究中提出的问题是确定各种替代方案中的最佳拓扑。该问题被称为总投资成本最小化的问题，受功率限制。实际上，该研究解决了一种蚁群算法启发式优化方法来解决此组合问题。由于需求的变化，可以在2种不同情况下考虑重新配置。首先，在系统规划或系统设计阶段。拟议的启发式方法确定了在考虑的研究期间内最小的投资成本系统配置，以满足输电约束。需要蚁群进近算法（ACA）来为新拓扑设计识别添加或切断具有不同参数的馈线的最佳组合。

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