首页> 中文期刊> 《电力系统保护与控制》 >蚁群算法在发电机动态参数聚合中的应用

蚁群算法在发电机动态参数聚合中的应用

             

摘要

The calculation of simulation in transient stability analysis for large scale power grid is very time-consuming. The use of dynamic equivalents for particular parts of these systems becomes indispensable in electromagnetic transient simulation of the power system to meet the need of electromagnetic transient simulation and the real-time simulation especially. This paper describes an improved method for parameter aggregation of detailed model of coherent unit groups, which are identified on an improved ant colony algorithm for solving continuous space optimization problems. It can obtain the detailed model parameters of equivalent generating. The proposed method is applied to the well-known New England Test System (10-machine, 39-bus) and results of validation test show that compared with frequency domain fitting the proposed method can ensure the swing curve is consistent with that before using the dynamic equivalents, and the reduced equivalent system retains the dynamic performance of the original system with good accuracy.%在大规模电力系统中,暂稳仿真的计算量越来越大.电磁暂态仿真则需要对系统进行等值简化,以满足电磁暂态尤其是实时仿真的需要.针对同调机群参数聚合,提出了一种基于连续空间寻优改进蚁群算法的参数聚合方法,该方法可以获得等值机及其调节系统的详细模型.为此,对IEEE 10机39母线系统进行了等值计算.仿真结果表明,与频域拟合相比,所提出的算法能保证发电机摇摆曲线与等值前基本一致,较好地保持被等值部分对原系统的动态影响,有效提高了等值的动态精度.

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