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
Citations
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Journal ArticleDOI
Strong SOCP Relaxations for the Optimal Power Flow Problem
TL;DR: This paper proposes three strong second order cone programming (SOCP) relaxations for the AC optimal power flow (OPF) problem that consistently outperforms previously proposed convex quadratic relaxations of the OPF problem and has numerous advantages over existing convex relaxations in the literature.
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Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers
TL;DR: This work forms a constrained optimization that aims to minimize power losses subject to finite inverter capacity and upper and lower voltage limits at all nodes in the circuit and explores protocols based on the dual-ascent method and on the alternating direction method of multipliers (ADMMs), finding that the ADMM protocol performs significantly better.
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Assessing the benefits of residential demand response in a real time distribution energy market
Pierluigi Siano,Debora Sarno +1 more
TL;DR: In this paper, the use of Distribution Locational Marginal Price (D-LMPs) in a Real Time (RT) distribution market managed by a Distribution System Operator (DSO) is discussed in presence of empowered residential end-users that are able to bid for energy by a demand aggregator while following Demand Response (DR) initiatives.
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Distributionally Robust Chance-Constrained Optimal Power Flow With Uncertain Renewables and Uncertain Reserves Provided by Loads
TL;DR: In this article, the authors formulate a chance constrained optimal power flow problem to procure minimum cost energy, generator reserves, and load reserves given uncertainty in renewable energy production, load consumption and load reserve capacities, which ensures that chance constraints are satisfied for any distribution in an ambiguity set built upon the first two moments.
Journal ArticleDOI
The QC Relaxation: A Theoretical and Computational Study on Optimal Power Flow
TL;DR: In this paper, the quadratic convex (QC) relaxation is proposed to preserve stronger links between the voltage variables through convex envelopes of the polar representation of the power flow equations.
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