基于粒子群算法的环境视角下电力系统负荷经济调度研究

P. Rao, P. M. Krishna, B. Santosh, P. Sumanth
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引用次数: 5

摘要

任何综合电力系统的基本思想都是更有效地运行,同时最经济地运行。对于任何给定的负载需求,不同发电机组的实际发电成本都可以最小化。除了成本,环境排放也要考虑,因为世界各地不断增长的排放量正在对生活环境造成严重破坏。因此,经济与排放平衡调度的思想使其成为一个多目标优化问题。为了解决这一问题,选择了一种著名的非传统粒子群优化方法,分别采用14bus和30bus的IEEE测试系统,并与遗传算法(GA)的仿真结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study on economic load dispatch in power system in the environment perspective by PSO
The fundamental idea of any integrated power system is to operate more efficiently and at the same time to operate most economically. The cost of generation of real power at different generating units can be minimized for any given load demand. Apart from cost, environmental emission is also to be considered as growing emissions all over the world are creating a major havoc to living environment. So the idea of balanced economic and emission dispatch makes it a multi objective optimization problem to be solved. For solving this problem a well-known non-traditional PSO optimization is chosen, and 14bus and 30bus IEEE test systems are taken and simulated results are compared with genetic algorithm (GA).
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