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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

Distributed Model-Predictive Real-Time Optimal Operation of a Network of Smart Microgrids

TL;DR: A fully distributed model-predictive and computational-intelligence-based algorithm is proposed, so that microgrids’ devices operate autonomously with minimum communication exchange, obviating the need for a central controller.
Journal ArticleDOI

Collective nonlinear dynamics and self-organization in decentralized power grids

TL;DR: In this paper , the authors show that mathematically modeling grids as coupled nonlinear dynamical systems and networks, and utilizing concepts from statistical physics and graph theory provide a comprehensive framework to understand and control their collective behavior as a system of many interacting units.
Journal ArticleDOI

Optimal Power Flow Using an Improved Electromagnetism-like Mechanism Method

TL;DR: In this article, an improved version of the electromagnetism-like mechanism is developed and proposed to find the optimal solution for the optimal power flow problem in a power system, which has been demonstrated on standard IEEE 30-bus and IEEE 57-bus test systems for seven different objectives that reflect fuel cost minimization with generators that may have either convex or nonconvex fuel cost characteristics, voltage profile improvement, voltage stability enhancement, and active and reactive power transmission losses minimization.
Journal ArticleDOI

Probabilistic small-disturbance stability assessment of uncertain power systems using efficient estimation methods

TL;DR: In this paper, the performance of three estimation methods when applied to the probabilistic assessment of small-disturbance stability of uncertain power systems is compared with a traditional numerical Monte Carlo (MC) approach.
Proceedings ArticleDOI

Error bounds on the DC power flow approximation: A convex relaxation approach

TL;DR: This paper proposes an algorithm capable of computing rigorous bounds on the approximation error in the DC power flow (and, in future extensions, more general linearized approximations) using convex relaxation techniques and shows that the bounds are reasonably tight over a range of operating conditions.
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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