首页> 外文学位 >The use of a genetic algorithm and fuzzy logic to estimate load allocation for adaptive voltage control in an electrical power distribution network.
【24h】

The use of a genetic algorithm and fuzzy logic to estimate load allocation for adaptive voltage control in an electrical power distribution network.

机译:遗传算法和模糊逻辑的使用,用于估算配电网中自适应电压控制的负载分配。

获取原文
获取原文并翻译 | 示例

摘要

Voltage regulation is a critical function in the supply and distribution of electricity. End use equipment operates efficiently within a narrow band of voltage limits. This thesis examines one approach for voltage control which can adapt to changing load conditions in a medium voltage distribution network. The voltage control seeks to obtain as narrow a regulation range as possible centered at the rated nominal voltage.; Knowledge of the voltage at each customer location is necessary for the voltage control optimization. An estimate of these voltages is possible if a load distribution estimate can be made for the network on a real time basis. This thesis creates a genetic algorithm with fuzzy logic to estimate the load distribution. An unbalanced load flow solution is derived to provide the fast convergence needed by the genetic algorithm as part of its fitness evaluation. Results of a test case with the proposed algorithm as part of its fitness evaluation. Results of a test case with the proposed approach are compared to a benchmark practice. The benchmark practice maintains a constant voltage at the substation bus which is designed to meet industry standard voltage limits at the customer premises.
机译:电压调节是电力供应和分配中的关键功能。最终使用设备在狭窄的电压限制范围内有效运行。本文研究了一种电压控制方法,该方法可以适应中压配电网络中不断变化的负载条件。电压控制试图获得以额定标称电压为中心的尽可能窄的调节范围。为了优化电压控制,必须了解每个客户位置的电压。如果可以实时对网络进行负载分配估算,则可以估算这些电压。本文提出了一种具有模糊逻辑的遗传算法来估计负荷分布。导出不平衡潮流解决方案以提供遗传算法所需的快速收敛性,作为其适应性评估的一部分。提出的算法作为适合性评估的一部分的测试案例的结果。所提出的方法的测试案例的结果与基准实践进行了比较。基准实践在变电站总线上保持恒定电压,该电压旨在满足客户场所的行业标准电压限制。

著录项

  • 作者

    Micek, Robert Joseph.;

  • 作者单位

    University of Colorado at Denver.;

  • 授予单位 University of Colorado at Denver.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2005
  • 页码 71 p.
  • 总页数 71
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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