Power system state estimation using teaching learning-based optimization algorithm

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Teaching Learning Based Optimization algorithm for reactive power planning

Reactive power planning is one of the most challenging problem for efficient and source operation of an interconnected power network. It requires effective and optimum co-ordination of all the reactive power sources present in the network. Recently, Teaching Learning Based Optimization (TLBO) algorithm is evolved and finds its application in the field of engineering optimization. In the propose...

متن کامل

OPTIMAL DESIGN OF TRUSS BRIDGES USING TEACHING-LEARNING-BASED OPTIMIZATION ALGORITHM

In this study, teaching-learning-based optimization (TLBO) algorithm is employed for the first time for optimization of real world truss bridges. The objective function considered is the weight of the structure subjected to design constraints including internal stress within bar elements and serviceability (deflection). Two examples demonstrate the effectiveness of TLBO algorithm in optimizatio...

متن کامل

Optimal Placement of Capacitor Banks Using a New Modified Version of Teaching-Learning- Based Optimization Algorithm

Meta-heuristics optimization methods are important techniques for optimal design of the engineering systems. Numerous methods, inspired by different nature phenomena, have been introduced in the literature. A new modified version of Teaching-Learning-Based Optimization (TLBO) Algorithm is introduced in this paper. TLBO, as a parameter free algorithm, is based on the learning procedure of studen...

متن کامل

Reducing Losses in a Deregulated Power System with Teaching Learning Based Optimization Algorithm

The robust Newton–Raphson method is suggested to solve the power flow equations. Newton power flow algorithms do not automatically minimize objective function such as real power losses. Hence, this paper presents teaching learning based optimization (TLBO) approach to minimize power lossesby the optimal allocation of reactive power sources considering placement and value in restructured power s...

متن کامل

Small-signal stability analysis of DFIG based wind power system using teaching learning based optimization

The present paper formulates the state space modelling of doubly fed induction generator (DFIG) based wind turbine system for the purpose of small-signal stability analysis. The objective of this study is to discuss the various modes of operation of the DFIG system under different operating conditions such as three phase fault and voltage sags with reference to variable wind speed and grid conn...

متن کامل

ذخیره 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: TELKOMNIKA (Telecommunication Computing Electronics and Control)

سال: 2020

ISSN: 2302-9293,1693-6930

DOI: 10.12928/telkomnika.v18i4.14159