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首页> 外文期刊>Engineering Applications of Artificial Intelligence >Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning
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Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning

机译:基于合作学习的多群人工蜂殖民算法的智能电网通信资源分配

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摘要

This paper developed a relay assignment and power allocation algorithm for data aggregator units (DAUs) in smart grid in order to minimize the cost to the utility company. A cooperative communication network with multiple DAUs assisted by multiple relays was deployed at the demand side in smart grid, and the relay assignment and power allocation problem was formulated as a nonlinear programming problem. Using the penalty function method, we transformed the constrained nonlinear programming problem into an unconstrained optimization problem. Then we developed an multi-swarm artificial bee colony (MS-ABC) algorithm with cooperative learning to search for the optimum. Simulation results indicate that the optimal relay assignment and power allocation can reduce the cost to the utility company. Moreover, the MS-ABC algorithm shows good performances and search ability.
机译:本文开发了一种用于智能电网中数据聚合器单元(DAU)的中继分配和功率分配算法,以最大限度地降低到公用事业公司的成本。在智能电网的需求侧部署了具有多个继电器辅助的多个DAU的协同通信网络,并且中继分配和功率分配问题被制定为非线性编程问题。使用惩罚功能方法,我们将约束的非线性编程问题转换为无约束优化问题。然后,我们开发了一种多群人造蜜蜂殖民地(MS-ABC)算法,具有合作学习,以寻找最佳。仿真结果表明,最佳的中继分配和功率分配可以将成本降低到公用事业公司。此外,MS-ABC算法显示出良好的性能和搜索能力。

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