Particle swarm optimization of a neural network model for predicting the flashover voltage on polluted cap and pin insulator
نویسندگان
چکیده
1. Gencoglu MT, Cebeci M. The pollution flashover on high voltage insulators. Electric Power Systems Research. 2008;78(11):1914–1921 .https://doi.org/10.1016/j.epsr.... CrossRef Google Scholar
منابع مشابه
Model for Predicting DC Flashover Voltage of Pre-Contaminated and Ice-Covered Long Insulator Strings
In the current study, a multi-arc predicting model for DC critical flashover voltage of iced and pre-contaminated long insulator strings under low atmospheric pressure is developed. The model is composed of a series of different polarity surface arcs, icicle-icicle air gap arcs, and residual layer resistance. The calculation method of the residual resistance of the ice layer under DC multi-arc ...
متن کاملImproved Binary Particle Swarm Optimization Based TNEP Considering Network Losses, Voltage Level, and Uncertainty in Demand
Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP pr...
متن کاملParticle Swarm Optimization-based BP Neural Network for UHV DC Insulator Pollution Forecasting
In order to realize the forecasting of the UHV DC insulator's pollution conditions, we introduced a PSOBP algorithm. A BP neural network (BPNN) with leakage current, temperature, relative humidity and dew point as input neurons, and ESDD as output neuron was built to forecast the ESDD. The PSO was used to optimize the the BPNN, which had great improved the convergence rate of the BP neural netw...
متن کاملTraffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization
Prediction of traffic is very crucial for its management. Because of human involvement in the generation of this phenomenon, traffic signal is normally accompanied by noise and high levels of non-stationarity. Therefore, traffic signal prediction as one of the important subjects of study has attracted researchers’ interests. In this study, a combinatorial approach is proposed for traffic signal...
متن کاملImage Feature Classification Based on Particle Swarm Optimization Neural Network
Image feature classification is one of the basic questions of image processing and computer vision and it is also a key step of image analysis. BP neural network has been extensively applied in feature classification and it can classify specific objects or features through early learning; however, BP algorithm also has many defects, including slow convergence speed and easiness to be trapped in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Diagnostyka
سال: 2022
ISSN: ['1641-6414', '2449-5220']
DOI: https://doi.org/10.29354/diag/154051