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首页> 外文期刊>IEEE Transactions on Energy Conversion >Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for Turbine-Governor and Excitation System
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Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for Turbine-Governor and Excitation System

机译：汽轮机-励磁系统混合布谷鸟搜索算法的改进

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摘要

In this paper, a new method is introduced in order to modify identification process of a gas power plant using a meta-heuristic algorithm named Cuckoo Search (CS). Simulations play a significant role in dynamic analyses of power plants. This paper points out to a practical approach inmodel selection and parameter estimation of gas power plants. The identification and validation process concentrates on two subsystems: governor-turbine and exciter. Standard models GGOV1 and STB6 are preferred for the dynamical structures of governor-turbine and exciter, respectively. Considering definite standard structure, main parameters of dynamical-model are pre-estimated via system identification methods based on field data. Then obtained parameters are tuned carefully using an iterative Cuckoo algorithm. Models must be validated by results derived via a trial and error series of simulation in comparison to measured test data. The procedure gradually yields in a valid model with precise estimated parameters. Simulation results show accuracy of identified models. Besides, a whiteness analysis has been performed in order to show the authenticity of the proposed method in another way. Despite various detailed models, practical attempts ofmodel selection, identification, and validation in a real gas unit could rarely be found among literature. In this paper, Chabahar power plant in Iran, with total install capacity of 320 MW, is chosen as a benchmark for model validation.
机译：本文介绍了一种新的方法，以使用名为Cuckoo Search（CS）的元启发式算法修改燃气发电厂的识别过程。模拟在发电厂的动态分析中起着重要作用。指出了燃气电厂模型选择和参数估计的一种实用方法。识别和确认过程集中在两个子系统上：调速器涡轮机和励磁机。标准模型GGOV1和STB6分别适用于调速器涡轮和励磁机的动力结构。考虑到确定的标准结构，通过基于现场数据的系统识别方法对动力学模型的主要参数进行了预估计。然后使用迭代的Cuckoo算法仔细调整获得的参数。模型必须通过模拟试验和错误序列得出的结果与测得的测试数据进行比较来验证。该过程逐渐产生具有精确估计参数的有效模型。仿真结果表明所识别模型的准确性。此外，已经进行了白度分析以便以另一种方式显示所提出的方法的真实性。尽管有各种详细的模型，但在文献中很少能找到在实际天然气装置中进行模型选择，识别和验证的实际尝试。在本文中，伊朗总装容量为320兆瓦的Chabahar电厂被选为模型验证的基准。

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