scispace - formally typeset
Journal ArticleDOI

Distributed Optimal Power Flow Using ADMM

Tomaso Erseghe
- 26 Feb 2014 - 
- Vol. 29, Iss: 5, pp 2370-2380
TLDR
A fully distributed and robust algorithm for OPF is proposed which does not require any form of central coordination and is based upon the alternating direction multiplier method (ADMM).
Abstract
Distributed optimal power flow (OPF) is a challenging non-linear, non-convex problem of central importance to the future power grid. Although many approaches are currently available in the literature, these require some form of central coordination to properly work. In this paper a fully distributed and robust algorithm for OPF is proposed which does not require any form of central coordination. The algorithm is based upon the alternating direction multiplier method (ADMM) in a form recently proposed by the author, which, in turn, builds upon the work of Schizas The approach is customized as a region-based optimization procedure, and it is tested in meaningful scenarios.

read more

Citations
More filters
Journal ArticleDOI

A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems

TL;DR: This paper reviews distributed algorithms for offline solution of optimal power flow (OPF) problems as well as online algorithms for real-time solution of OPF, optimal frequency control, optimal voltage control, and optimal wide-area control problems.
Journal ArticleDOI

Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview

TL;DR: The range of services distributed ES systems can provide, and the control challenges they introduce are reviewed, and multi-agent control with agents satisfying Wooldridge’s definition of intelligence is proposed as a promising direction for future research.
Journal ArticleDOI

Optimal Distributed Control of Reactive Power Via the Alternating Direction Method of Multipliers

TL;DR: In this paper, the authors formulate the control of reactive power generation by photovoltaic inverters in a power distribution circuit as 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.
Journal ArticleDOI

Distributed Energy Trading: The Multiple-Microgrid Case

TL;DR: In this article, a distributed convex optimization framework is developed for energy trading between islanded microgrids, where the problem consists of several island-grids that exchange energy flows by means of an arbitrary topology, and a subgradient-based cost minimization algorithm is proposed that converges to the optimal solution in a practical number of iterations.
References
More filters
Journal ArticleDOI

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

TL;DR: A comprehensive description of the primal-dual interior-point algorithm with a filter line-search method for nonlinear programming is provided, including the feasibility restoration phase for the filter method, second-order corrections, and inertia correction of the KKT matrix.
Book

Parallel and Distributed Computation: Numerical Methods

TL;DR: This work discusses parallel and distributed architectures, complexity measures, and communication and synchronization issues, and it presents both Jacobi and Gauss-Seidel iterations, which serve as algorithms of reference for many of the computational approaches addressed later.
Journal ArticleDOI

On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

TL;DR: This paper shows, by means of an operator called asplitting operator, that the Douglas—Rachford splitting method for finding a zero of the sum of two monotone operators is a special case of the proximal point algorithm, which allows the unification and generalization of a variety of convex programming algorithms.
Journal ArticleDOI

A dual algorithm for the solution of nonlinear variational problems via finite element approximation

TL;DR: A dual method is proposed which decouples the difficulties relative to the functionals f and g from the possible ill-conditioning effects of the linear operator A and leads to an efficient and simply implementable algorithm.
Journal ArticleDOI

Consensus in Ad Hoc WSNs With Noisy Links— Part I: Distributed Estimation of Deterministic Signals

TL;DR: This work introduces a decentralized scheme for least-squares and best linear unbiased estimation (BLUE) and establishes its convergence in the presence of communication noise and introduces a method of multipliers in conjunction with a block coordinate descent approach to demonstrate how the resultant algorithm can be decomposed into a set of simpler tasks suitable for distributed implementation.
Related Papers (5)