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
【24h】

Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning

机译:基于协同学习的多群人工蜂群算法的智能电网通信资源分配

获取原文
获取原文并翻译 | 示例

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:本文为智能电网中的数据聚合器单元(DAU)开发了一种继电器分配和功率分配算法,以最大程度地降低公用事业公司的成本。在智能电网的需求侧部署了由多个继电器辅助的多个DAU的协作通信网络,并将继电器分配和功率分配问题表述为非线性规划问题。使用罚函数法,将约束非线性规划问题转化为无约束优化问题。然后,我们通过合作学习开发了一种多群人工蜂群(MS-ABC)算法,以寻找最佳算法。仿真结果表明,最佳的继电器分配和功率分配可以降低公用事业公司的成本。而且,MS-ABC算法具有良好的性能和搜索能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号