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首页> 外文会议>Advance Computing Conference,IACC,2009 IEEE International >Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints
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Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints

机译：解决带线流约束的经济负荷分配问题的智能技术比较

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摘要

A comparative analysis using different intelligent techniques has been carried out for the Economic Load Dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of this paper is to minimize the total production cost of the thermal power generation. Economic Load Dispatch (ELD) has been applied to obtain optimal fuel cost. Optimal Power Flow has been carried out to obtain ELD solutions with minimum operating cost satisfying both unit and network constraints. In this paper, various intelligent techniques such as Genetic Algorithm (GA), Evolutionary Programming (EP), Particle Swarm Optimization (PSO), and Differential Evolution (DE) have been applied to obtain ELD solutions. The proposed algorithm has been tested on two sample systems viz IEEE 30 bus system and a 15 unit system. The results obtained by the various intelligent techniques are compared. The solutions obtained are quite encouraging and useful in the economic environment. The algorithm and simulation are carried out using Matlab software.
机译：针对经济负荷分配（ELD）问题，已经进行了比较分析，考虑了调节电力系统的线路流量限制，以确保实用，经济和安全的发电计划。本文的目的是使热力发电的总生产成本最小化。经济负荷分配（ELD）已被应用以获得最佳燃料成本。为了获得ELD解决方案，已经进行了最佳功率流，其最低的运行成本可以满足单元和网络的限制。在本文中，已采用各种智能技术，例如遗传算法（GA），进化规划（EP），粒子群优化（PSO）和差分进化（DE）来获得ELD解决方案。所提出的算法已在两个示例系统（即IEEE 30总线系统和15个单元系统）上进行了测试。比较了各种智能技术获得的结果。获得的解决方案在经济环境中非常令人鼓舞且有用。该算法和仿真是使用Matlab软件进行的。

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