دانلود مقاله ترجمه شده برنامه ریزی در مدار قرار گرفتن واحدهای حرارتي با استفاده از الگوریتم ژنتیک

 Abstract

Unit commitment is a complex decision-making process because of multiple constraints which must not be violated while finding the optimal or near-optimal commitment schedule. The paper discusses the application of genetic algorithms to determine the short-term commitment order of thermal unit in power generation. The objective of optimal commitment is to determine the on/off states of the units in the system to meet the load demand and spinning reserve requirement at each time period, such that the overall cost of generation is minimized, while satisfying various operational constraints. The paper examines the feasibility of using genetic algorithms, and reports preliminary results in determining a near-optimal commitment order of thermal units in a studied power system

Contents

1. Introduction

2. Genetic algorithms

3. Problem description

3.1. Objective function

4. Implementation

5. Experimental results

6.Conclusion