Journal ArticleDOI
Some deficiencies in optimal power flow
TLDR
In this article, the use of equivalents causes errors, the methods for adjusting discrete variables are suboptimal, and the number of control actions is too large to be executed, and approaches for correcting them are discussed.Abstract:
Optimal power flow programs have deficiencies that limit their practical value and scope of application. Three of these deficiencies are: (1) the use of equivalents causes errors, (2) the methods for adjusting discrete variables are suboptimal; and (3) the number of control actions is too large to be executed. These deficiencies are explained, and approaches for correcting them are discussed. >read more
Citations
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Alternating Optimization Approach for Voltage-Secure Multi-Period Optimal Reactive Power Dispatch
Tamer Ibrahim,Tomas Tinoco De Rubira,Alberto Del Rosso,Mahendra Patel,Swaroop S. Guggilam,Ahmed G. Mohamed +5 more
TL;DR: In this article , an optimization approach for day-ahead reactive power planning to improve voltage security in transmission networks is proposed, which is formulated as a voltage-secure multi-period optimal reactive power dispatch (MP-ORPD) problem.
Proceedings ArticleDOI
Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch
V. Mini,T. K. Sunil Kumar +1 more
TL;DR: In this paper, a diversity enhanced particle swarm optimization (DEPSO) algorithm was proposed for solving the reactive power dispatch (RPD) problem in mixed integer discrete continuous (MIDC) problems.
Book ChapterDOI
Optimal Power Flow Packages Requirements and Experiences
TL;DR: The purpose of an Optimal Power Flow function is to schedule the power system controls to optimize an objective function while satisfying a set of nonlinear equality and inequality constraints.
Proceedings ArticleDOI
An NLP penalty-based strategy for handling discrete controls for Volt/Var optimization in distribution systems
TL;DR: In this article, a nonlinear programming (NLP) penalty-based strategy for solving the Volt/Var optimization (VVO) problem in distribution systems, formulated in a mixed integer non linear programming (MINLP) form, is proposed.
Wide-Area Emergency Control in Power Transmission
TL;DR: Simulation results of a benchmark transmission system show the ability of the fault-tolerant reconfiguration strategy to maintain wide-area stability of a power system despite failure in one of the stabilisers.
References
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Journal ArticleDOI
Optimal Power Flow By Newton Approach
TL;DR: In this paper, a direct simultaneous solution for all of the unknowns in the Lagrangian function on each iteration is proposed, where each iteration minimizes a quadratic approximation of the Lagrangeian.
Journal ArticleDOI
Linear Programming for Power-System Network Security Applications
B . Stott,J. L. Marinho +1 more
TL;DR: A linear programming method for security dispatch and emergency control calculations on large power systems is presented, which works directly with the normal power-system variables and limits, and incorporates the usual sparse matrix techniques.
Journal ArticleDOI
Studies on Power System Load Flow Equivalencing
TL;DR: In this paper, the principles and main methods for load-flow equivalence, with due emphasis given to on-line applications, are reviewed and a critical analysis of the properties of the different methods is made, to assist in choosing the most suitable ones for practical application.
Journal ArticleDOI
Network Topology Optimization with Security Constraints
R. Bacher,Hans Glavitsch +1 more
TL;DR: In this paper, a current injection scheme is used to simulate the change in topology of a base network. But the injected currents are applied to the terminals of the elements of a socalled base network corresponding to those actually switched.
Journal ArticleDOI
Large Scale Optimal Power Flow
TL;DR: In this paper, a new optimization method is applied to optimal power flow analysis, based on transforming the original problem to that of solving a sequence of linearly constrained subproblems using an augmented Lagrangian type objective function.