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Multi-Objective Service Restoration for Blackout of Distribution System with Distributed Generators based on Multi-agent GA

机译:基于多功能多功能发电机的分布式发电机停电多目标服务恢复

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Service restoration is a problem with multiple objectives and constraints, when the distribution systems with DGs (distributed generators) come up large area blackout. In this article the model of multiple objective service restoration about distribution systems with DGs has been built, considering users' priority, the action times of hand switches or tele-switches and network losses after service restoring. Multi-agent GA can be used to search the Pareto optimal solution set for the multiple objectives service restoration problem. Agent's competitive and selflearning actions reflect the principal of survival of the fittest and diversity. It can reduce complex rate and improve efficiency using challenge match method to form Pareto solution to store populations. At last the calculation example manifests the quickness and precision of the multiple objective service restoration for blackout based multi-agent GA, and it is better suit for the distribution system than single objective method.
机译:服务恢复是具有多种目标和约束的问题,当使用DGS(分布式发电机)的分配系统上方的区域停电时。在本文中,考虑到用户的优先级,在服务恢复后,考虑到了DGS的分发系统的多目标服务恢复模型。多臂GA可用于搜索帕累托最佳解决方案为多个目标服务恢复问题设置。代理商的竞争力和自我学习行动反映了最适合和多样性的生存校长。它可以减少复杂的速率并使用挑战赛方法提高效率,以形成帕累托解决群体的帕累托解决方案。最后,计算例表明了基于空停电容的多助手Ga的多目标服务恢复的速度和精度,并且对于分布系统比单个物镜方法更好。

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