首页> 外文OA文献 >Optimisasi Economic Dispatch Dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier Dan Gaussian Particle Swarm Optimization (Gpso)
【2h】

Optimisasi Economic Dispatch Dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier Dan Gaussian Particle Swarm Optimization (Gpso)

机译:使用扩展拉格朗日乘数法和高斯粒子群优化(Gpso)来优化具有传输损耗的经​​济调度

摘要

In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the electricity demand in a certain area is fulfilled without ignoring the constraints that exist, so it is obtained a minimum total generation cost. Optimization method that is used is the Gaussian Particle Swarm Optimization (GPSO), while for the validation of the results, the obtained solution with the GPSO will be compared with the solution obtained by mathematical methods Extended Lagrange Multiplier (ELM) or the Lagrange multiplier method which its functions are expanded. The solution that is calculated is generation output in Megawatt of 23 thermal generating units system in Mahakam, East Kalimantan, which had a total cost of optimal generating (minimum).
机译:在电能的运行过程中,经济计划是要实现的主要目标。经济调度问题的目标是确定最佳功率分配与多个运行中的发电机组的组合,以便在不忽略现有约束的情况下满足特定区域的用电需求,从而获得最低的总发电成本。使用的优化方法是高斯粒子群优化(GPSO),同时为了验证结果,将使用GPSO获得的解与通过数学方法扩展拉格朗日乘数(ELM)或拉格朗日乘数法获得的解进行比较。其功能得到扩展。计算出的解决方案是东加里曼丹省Mahakam的23个热力发电机组的兆瓦发电量,该发电量具有最优发电的总成本(最低)。

著录项

  • 作者

    Komsiyah, Siti;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 ID
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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