基于花授粉算法的多区域经济调度

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) Pub Date : 2016-03-03 DOI:10.1109/ICEEOT.2016.7755541

S. Vijayaraj, R. Santhi

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引用次数: 21

摘要

本文将花授粉算法应用于求解考虑线路约束、传输损耗、多种燃料选择、阀点加载效应和禁止作用区的多区域经济负荷调度问题。花卉授粉算法是一种基于开花植物性质的自然启发算法。在不可预测性波动水平三种不同的测试用例上进行了计算强度试验，并与人工蜂群优化、差分进化、进化规划和实际编码遗传算法进行了比较。结果表明，该投影技术具有较快的收敛性和有效性。

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Multi-area economic dispatch using flower pollination algorithm

This paper presents application of flower pollination algorithm for solving multi area economic load dispatch problem considering tie line constraint, transmission loss, multiple fuel options, valve point loading effect and prohibited operating zones. Flower pollination algorithm is a nature-inspired algorithm, based on the nature of flowering plants. Intensity of the calculation is tried on three distinctive test cases comprise of fluctuating level of unpredictability and it is compared with artificial bee colony optimization, differential evolution, evolutionary programming and real coded genetic algorithm. The results show the quick convergence and effectiveness of the projected technique.

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来源期刊

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

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