International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

Optimal PMU Placement Considering Reliability of Measurement System in Smart Grids

Authors :

Mohammad Shahraeini¹ Shahla Khormali² Ahad Alvandi³

1- Golestan University 2- Golestan University 3- Golestan University

Keywords :

state estimation،observability،reliability،weighted adjacency matrix

Abstract :

State estimation has been known as the major part of power system operation, and observability analysis is the main function in an estimator. Therefore, the placment of measurement devices for the observability of the entire network has always been the main concern, while the reliability of the estimator is an important issue that also should be considered. The current study presents a method for PMU placement that designs a highly reliable estimator with a minimum number of such units. This can be achieved by using a weighted adjacency matrix, which utilizes reliability of transmission lines as its weights, and well-defined objective function that tries to maximize reliability of estimator. The simulation results for the IEEE 14 and 24 bus test networks show that the proposed method not only minimizes the number of PMUs but also places such units on the branches with higher reliability.

List of archived papers

TrackMine: Topic Tracking in Model Mining using Genetic Algorithm

Mohammad Sajad Kasaei - Mohammadreza Sharbaf - Afsaneh Fatemi - Bahman Zamani

Pruning and Mixed Precision Techniques for Accelerating Neural Network

Mahsa Zahedi - Mohammad Sediq Abazari Bozhgani - Abdorreza Savadi

Joint ADC-less Analog Demodulator and Decoder for Extended Binary (8, 4, 4) Hamming Channel Code

Mir Mahdi Safari - Jafar Pourrostam - Behzad Mozaffari Tazehkand

Real-Time Vehicle Detection and Classification in UAV imagery Using Improved YOLOv5

Mohammad Hossein Hamzenejadi - Hadis Mohseni

An Efficient Approach for Breast Abnormality Detection through High-Level Features of Thermography Images

Farhad Abedinzadeh Torghabeh - Yeganeh Modaresnia - Seyyed Abed Hosseini

R2-BAC: A Novel Blockchain and IoT-Based Access Control Model for Supply Chain Management

Sadegh Sohani - Farnaz Kamranfar - Haleh Amintoosi - Mohammad Allahbakhsh

Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study

Alireza Jahandoost - Mahboobeh Houshmand - Seyyed Abed Hosseini

Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control

Nadia Khalili - Hojatollah Hamidi

Intracranial Hemorrhage Classification using CBAM Attention Module and Convolutional Neural Networks

Parnian Rahimi - Marjan Naderan - Amir Jamshidnezhad - Shahram Rafie

Enhancing Persian Word Sense Disambiguation with Large Language Models: Techniques and Applications

Fatemeh Zahra Arshia - Saeedeh Sadat Sadidpour

more

Samin Hamayesh - Version 42.4.1