AASEC 2020
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Access Mode
:: Abstract ::

<< back

Adaptive Underfrequency Load Shedding Design Based on Generation Lossing Estimation using Artificial Neural Network Method
Joko Hartono, Dhandis Rito Jintaka, Kemas M Tofani, Muhammad Ridwan, Andreas P Purnomoadi

PT PLN (Persero) Puslitbang


Abstract

Underfrequency relay is used to prevent the frequency instability because of losing generation by balancing the load with the supply. The approach of this paper is to design an adaptive underfrequency load shedding (AUFLS) model in power system simulation software by estimating the magnitude of losing generation using artificial neural network (ANN) furthermore the shedded loads will be obtained based on this value. The new england IEEE 39 bus system is used for this dynamic simulation, there are 10 generators that each outage frequency response simulations is used as training data for the ANN dataset. The analysis is showed by comparing the frequency response of the system without any load shedding methode, using tradisional 4 steps underfrequency load shedding and adaptive underfrequency load shedding. The results shows that the frequency response using adaptive underfrequency load shedding is the fastest method to stabilize the system after an outage

Keywords: Frequency Stability, Artificial Neural Network (ANN), Estimation, Dynamic Simulation, Frequency, Magnitude of disturbance, Underfrequency Load Shedding

Topic: Electrical Engineering

Plain Format | Corresponding Author (Joko Hartono)

Share Link

Share your abstract link to your social media or profile page

AASEC 2020 - Conference Management System

Powered By Konfrenzi Ultimate 1.832L-Build5 © 2007-2025 All Rights Reserved