太阳能发电厂模糊逻辑控制规则库的遗传算法优化

DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382) Pub Date : 2000-04-04 DOI:10.1109/DRPT.2000.855667

P. Luk, L. Lai, T. L. Tong

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引用次数: 8

摘要

为优化太阳能电站模糊控制器的规则库，提出了一种遗传算法。规则库包含49条“如果-那么”规则的经验集。每条规则的影响都是通过一个加权因子来衡量的，这个加权因子编码在染色体的基因中。整个染色体编码所有49个加权因子。染色体适合度的评估是基于植物的响应时间。经过大约80代染色体的进化，植物的生产性能有了很大的提高。

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GA optimisation of rule base in a fuzzy logic control of a solar power plant

A genetic algorithm (GA) is formulated to optimise the rule base of a fuzzy logic controller (FLC) in a solar power plant. The rule base embodies an empirical set of 49 'if-then' rules. The influence of each rule is scaled by a weighting factor which is encoded in the gene of a chromosome. The entire chromosome encodes all of the 49 weighting factors. Evaluation of the fitness of the chromosome is based on the response time of the plant. Considerably improvement of plant performance is shown after some 80 generations of evolution of the chromosome.

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DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382)

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