Solving unit commitment and economic dispatch simultaneously considering generator constraints by using nested PSO

M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji
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引用次数: 4

Abstract

Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering any operating limits related to generation and transmission is complement of it and another important intention in power systems. In the past years, these kinds of problems are used to solve just by solving first one of them then another one. In this paper, it's decided to solve this two-parted problem simultaneously. For reaching this goal, it's used Particle Swarm Optimization twice but simultaneously as nested PSO. The other important part is considering some kind of limits that usually faced in these solutions, which is placed in this paper.
利用嵌套粒子群算法求解考虑发电机约束的机组承诺和经济调度问题
机组承诺和经济调度是每一个电厂规划项目的重要组成部分。机组承诺问题是在考虑电厂的电力消耗和约束条件变化的情况下,寻找经济的发电方式的问题。此外,经济调度作为发电厂以最低的成本生产能源以满足消费者的过程,同时考虑到与发电和输电有关的任何运行限制,是对经济调度的补充,也是电力系统的另一个重要意图。在过去的几年里,解决这类问题的方法就是先解决一个,然后再解决另一个。本文决定同时解决这两方面的问题。为了达到这一目标,粒子群算法被使用了两次,但同时作为嵌套粒子群算法。另一个重要的部分是考虑在这些解决方案中通常面临的一些限制,这在本文中被放置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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