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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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Physics-Guided Deep Neural Networks for Power Flow Analysis

TL;DR: This paper proposes a physics-guided neural network to solve the PF problem, with an auxiliary task to rebuild the PF model, and demonstrates that the weight matrices of the proposed neural networks embody power system physics by showing their similarities with the bus admittance matrices.
Proceedings ArticleDOI

Advanced optimization methods for power systems

TL;DR: A selection of complementary theoretical advances in addressing power system planning and operation problems in the fields of non-convex optimization, in mixed-integer programming, and in optimization under uncertainty are introduced.
Proceedings ArticleDOI

On PMU location selection for line outage detection in wide-area transmission networks

TL;DR: Using this algorithm, the optimal tradeoff between the number of PMUs and the outage detection performance is characterized for IEEE 14, 24 and 30 bus systems.
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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

TL;DR: The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor and adequate models and tools to address uncertainty in energy scheduling solutions are crucial to deal with new resources.
Journal ArticleDOI

Reverse and Forward Engineering of Local Voltage Control in Distribution Networks

TL;DR: In this article, the power system dynamics with non-incremental local voltage control can be seen as a distributed algorithm for solving a well-defined optimization problem (reverse engineering), and two incremental voltage control schemes based on the subgradient and pseudo-gradient algorithms are designed for solving the same optimization problem.
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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