scispace - formally typeset
Open AccessJournal ArticleDOI

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

TLDR
The details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture, are presented, which are used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits.
Abstract
MATPOWER is an open-source Matlab-based power system simulation package that provides a high-level set of power flow, optimal power flow (OPF), and other tools targeted toward researchers, educators, and students. The OPF architecture is designed to be extensible, making it easy to add user-defined variables, costs, and constraints to the standard OPF problem. This paper presents the details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture. This structure is used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits. Simulation results are presented for a number of test cases comparing the performance of several available OPF solvers and demonstrating MATPOWER's ability to solve large-scale AC and DC OPF problems.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Monitor Placement for Reliable Estimation of Voltage Sags in Power Networks

TL;DR: In this article, a two-fold monitor placement method is developed to overcome the limitations of existing approaches for determining voltage sag monitoring programs; a generalization of an optimal monitor placement for fault location that better suits the foreseen expansion in power system monitoring, and a simplified version of this that can be applied when resources are limited.

Supplementary Data and Code for "Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks"

TL;DR: This paper introduces for the first time a framework to obtain provable worst-case guarantees for neural network performance, using learning for optimal power flow (OPF) problems as a guiding example, and shows how to systematically reduce the worst- case guarantees by training on a larger input domain than the domain they are evaluated on.
Journal ArticleDOI

An Adaptive-Then-Combine Dynamic State Estimation Considering Renewable Generations in Smart Grids

TL;DR: An adaptive-then-combine distributed dynamic approach for monitoring the grid under lossy communication links between the wind turbines and energy management system and the efficacy is verified using the wind turbine and the IEEE 6-bus distribution system.
Posted Content

Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise

TL;DR: The proposed detector is tested on an independent component analysis (ICA) based unobservable false data attack scheme that utilizes similar assumptions of sample observation and demonstrates the effectiveness of the proposed approach and indicates a wide application on the power signal processing.
Journal ArticleDOI

Cascading failures analysis considering extreme virus propagation of cyber-physical systems in smart grids

TL;DR: The proposed model is applied to the IEEE 118-bus system and the French grid coupled with different communication network structures and shows that the scale-free communication network is more vulnerable to virus propagation in smart cyber-physical grids.
References
More filters
Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Book

Power generation

Journal ArticleDOI

Fast Decoupled Load Flow

TL;DR: This paper describes a simple, very reliable and extremely fast load-flow solution method that is attractive for accurate or approximate off-and on-line routine and contingency calculations for networks of any size, and can be implemented efficiently on computers with restrictive core-store capacities.
Journal ArticleDOI

Power Flow Solution by Newton's Method

TL;DR: The ac power flow problem can be solved efficiently by Newton's method because only five iterations, each equivalent to about seven of the widely used Gauss-Seidel method are required for an exact solution.
Journal ArticleDOI

An open source power system analysis toolbox

TL;DR: Basic features, algorithms, and a variety of case studies are presented in this paper to illustrate the capabilities of the presented tool and its suitability for educational and research purposes.
Related Papers (5)