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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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Distributed State Estimation With Dimension Reduction Preprocessing

TL;DR: An algorithm is proposed that is guaranteed to converge to a stationary point to design an estimator in the conditions that the lower bound cannot be reached, and the proposed algorithm guarantees bounded performance loss compared with the global optimal solution under some additional conditions.
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Chance-Constrained Outage Scheduling Using a Machine Learning Proxy

TL;DR: Galdl et al. as mentioned in this paper proposed a data-driven distributed chance-constrained optimization formulation for outage scheduling in large networks, using machine learning to build a proxy for predicting outcomes of power system operation processes.
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Effects of Switching Network Topologies on Stealthy False Data Injection Attacks Against State Estimation in Power Networks

TL;DR: A new mechanism is proposed to eliminate the possibility of such an attack via strategically shutting down some preselected transmission lines by turns and therefore switching the network topologies and the general form of possible attacks when the elimination is impossible are formulated.
Posted Content

Estimating the State of AC Power Systems using Semidefinite Programming

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Final Technical Report: Integrated Distribution-Transmission Analysis for Very High Penetration Solar PV

TL;DR: The Integrated Grid Modeling System (IGMS) as mentioned in this paper is a high performance computer (HPC) based integrated transmission-distribution tool for high-penetration DGPV scenarios.
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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