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

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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.

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Journal ArticleDOI

An 8-Zone Test System Based on ISO New England Data: Development and Application

TL;DR: This study develops an open-source 8-zone test system for teaching, training, and research purposes that is based on ISO New England structural attributes and data and reports energy cost-savings outcomes for a comparative study of stochastic versus deterministic DAM security constrained unit commitment (SCUC) formulations.
Journal ArticleDOI

SAInt – A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks

TL;DR: In this paper, a quasi-dynamic simulation model is proposed for the combined simulation of gas and electric power systems in a single time frame and simulation environment, which can give insight into important and critical information, such as the timing and propagation of contingencies cascading from one system to the other or the grace period to react to these contingencies.
Journal ArticleDOI

Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning

TL;DR: In this article, a deep learning approach to Bayesian state estimation for unobservable distribution systems is proposed for real-time applications, which consists of distribution learning of stochastic power injection, a Monte Carlo technique for the training of a deep neural network for state estimation, and a Bayesian bad-data detection and filtering algorithm.
Journal ArticleDOI

Approximate Linear Power Flow Using Logarithmic Transform of Voltage Magnitudes With Reactive Power and Transmission Loss Consideration

TL;DR: In this paper, a linear approximation of alternating current power flow (PF) considering the accuracy of the reactive load flows and transmission losses is investigated, and a linear PF (LPF) model involving tap changers and phase shifters is derived from the approximation analysis of general branch flows.
Journal ArticleDOI

SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis

TL;DR: A general methodology to generate benchmark datasets and its voltage level dependent implementation is described in this paper and SimBench, a comprehensive dataset for the low, medium, high and extra-high voltage level, is presented.
References
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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.
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