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Switch configuration optimization meeting the requirement of self-healing

机译:满足自我修复需求的交换机配置优化

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Self-healing is the most important characteristic of the smart distribution system. Through the switch configuration optimization, the distribution network will not only satisfy the requirement of reliability and economy, but also has good self-healing property. This paper firstly proposes the self-healing evaluation index of distribution system, and then proposes the improved adaptive binary particle swarm optimization algorithm to solve the problems of switch configuration optimization meeting the requirement of self-healing, which builds the multi-objective function of self-healing capability and the comprehension cost, and considers the constraint of distribution systems. At last, the test system results verify the rationality of the model and the effectiveness of the proposed method.
机译:自我修复是智能配电系统的最重要特征。通过交换机配置的优化,配电网不仅可以满足可靠性和经济性的要求,而且具有良好的自愈性能。本文首先提出了配电系统的自愈能力评价指标,然后提出了改进的自适应二进制粒子群算法来解决满足自愈要求的开关配置优化问题,从而建立了自愈的多目标函数。修复能力和理解成本,并考虑配电系统的约束。最后,测试系统结果验证了模型的合理性和所提方法的有效性。

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