微型电脑应用2023，Vol.39Issue(12)：93-97,5.
基于蚁群算法的电力系统干扰稳定评估研究
Research on Disturbance Stability Evaluation of Power System Based on Ant Colony Algorithm
刘怡 1王爽 1高静 1褚智洁 1刘海洋1
作者信息
- 1. 国网天津市电力公司信息通信公司,天津 300140
- 折叠
摘要
Abstract
Power system is a system of power production and consumption,and plays an important role in ensuring the power quality of users.Under the influence of external interference factors,the stability of power system decreases.Aiming at the above problem,a power system interference stability evaluation method based on ant colony algorithm optimization neural net-work is proposed.It sets the power system stability classification standard,and constructs the power system interference model according to the composition of the power system and the action principle of interference factors.In this model,the real-time operation data of power system are collected,ant colony algorithm is used to optimize the neural network,values and grade evaluation result of power system which may interfere stability are determined.By comparing with the traditional evaluation method,it is found that the stability grade evaluation accuracy of the optimization design evaluation method is increased by 7.5％,and the evaluation running time is shorter.The application of the optimization design evaluation method to the manage-ment of power system can effectively reduce the economic loss caused by interference.关键词
蚁群算法/神经网络/电力系统/干扰/稳定评估Key words
ant colony algorithm/neural network/power system/disturbance/stability evaluation分类
信息技术与安全科学引用本文复制引用
刘怡,王爽,高静,褚智洁,刘海洋..基于蚁群算法的电力系统干扰稳定评估研究[J].微型电脑应用,2023,39(12):93-97,5.
