首页> 外文会议>Power Systems Conference, 2006. MEPCON 2006 >Multi-objective genetic algorithm to improve the power system operation using distributed generation
【24h】

Multi-objective genetic algorithm to improve the power system operation using distributed generation

机译:多目标遗传算法利用分布式发电改善电力系统运行

获取原文

摘要

Saturation of existing networks and the continuous growth of load have led to increased interest in distributed generation (DG) units. Proper locations of DG units in power system are important to improve the power system operation at different conditions with respect to system power losses and relief of the heavy loaded lines. In this paper, a multi-objective formulation for siting and sizing of DG units into existing transmission networks is proposed. The methodology adopted permits the operator to compromise between the objective functions, which are reducing the power flows in the critical transmission lines and minimizing. the system power losses. The implemented technique is based on a genetic algorithm (GA) and priority goal programming method (PGP). Numerical simulations are carried out on two test systems in order to examine the validity of the proposed procedure.
机译:现有网络的饱和和负载的持续增长导致人们对分布式发电(DG)单元的兴趣增加。 DG单元在电力系统中的正确位置对于改善系统在电力损耗和减轻重载线路方面的不同条件下的电力系统运行非常重要。在本文中,提出了将DG单元选址和确定现有传输网络规模的多目标公式。所采用的方法允许操作员在目标功能之间进行折衷,从而减少了关键传输线中的功率流并使其最小化。系统功耗。所实现的技术基于遗传算法(GA)和优先级目标编程方法(PGP)。为了检验所提出程序的有效性,在两个测试系统上进行了数值模拟。

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