论文标题
基于群体智能的风力发电厂的模糊控制器的优化
Optimization of Fuzzy Controller of a Wind Power Plant Based on the Swarm Intelligence
论文作者
论文摘要
本文考虑了基于模糊控制和产生模糊规则基础自动化的风力发电厂最佳控制的问题。专家的模糊规则并不总是提供风厂的最大功率输出，而模糊规则库需要在更改风力发电厂或环境参数的情况下进行调整。这项研究提出了一种优化各种专家编制的模糊规则基础的方法。该方法基于通过粒子群优化算法将模糊规则的权重到基础中。该实验表明，所提出的方法允许形成模糊规则基础，作为来自非优化模糊规则集的模范最佳基础。针对风电厂的混凝土控制回路和风的混凝土模糊模型，已考虑最佳模糊规则基础。
The article considers the problem of the optimal control of a wind power plant based on fuzzy control and automation of generating the fuzzy rule base. Fuzzy rules by experts do not always provide a maximum power output of the wind plant and fuzzy rule bases require an adjustment in the case of changing the parameters of the wind power plant or the environment. This research proposes the method for optimizing the fuzzy rules base compiled by various experts. The method is based on balancing weights of fuzzy rules into the base by the Particle Swarm Optimization algorithm. The experiment has shown that the proposed method allows forming the fuzzy rule base as an exemplary optimal base from a non-optimized set of fuzzy rules. The optimal fuzzy rule base has been taken under consideration for the concrete control loop of wind power plant and the concrete fuzzy model of the wind.
