• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric Power Components and Systems >Integrated Reactive Power Optimization Method for Active Distribution Networks Based on a Quantum Krill Herd Algorithm
【24h】

Integrated Reactive Power Optimization Method for Active Distribution Networks Based on a Quantum Krill Herd Algorithm

机译：基于量子磷虾群算法的主动配电网综合无功优化方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Aiming at the problem that the reactive power optimization of traditional distribution network can't adapt to the active distribution network (ADN) of large-scale distributed power access, a comprehensive reactive power optimization method based on quantum krill herd algorithm for ADN is proposed. Firstly, a reactive power optimization model of ADN based on proportional coefficient is proposed by analyzing the characteristics of active control and active management. Secondly, the krill herd algorithm is easy to fall into local optimum when solving optimization problems. To overcome this shortcoming, a quantum krill swarm algorithm is proposed. The algorithm uses the probability amplitude of quantum bits to represent the information of particle position, uses quantum revolving gate to increase population diversity and generates new population through chaotic crossover, which improves the convergence accuracy of the algorithm. Finally, simulation experiments are carried out on the modified IEEE33 node and IEEE 69 node to verify the effectiveness of the proposed model and algorithm.
机译：针对传统配电网的无功优化不能适应大规模配电网接入的有功配电网的问题，提出了一种基于量子磷虾群算法的无功优化综合方法。首先，通过分析主动控制和主动管理的特点，提出了一种基于比例系数的ADN无功优化模型。其次，磷虾群算法在解决优化问题时容易陷入局部最优。为了克服这个缺点，提出了一种量子磷虾算法。该算法利用量子位的概率幅度表示粒子位置信息，利用量子旋转门增加种群多样性，并通过混沌交叉产生新种群，从而提高了算法的收敛精度。最后，在改进的IEEE33节点和IEEE 69节点上进行了仿真实验，以验证所提出的模型和算法的有效性。

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