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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Journal ArticleDOI
Suppressing ineffective control actions in optimal power flow problems
TL;DR: This paper proposes a conceptually different new approach, which computes automatically the number of effective control actions that do not worsen the ideal model OPF objective by more than an operator-specified tolerance, and shows that the solutions of the proposed continuous approximation lead to the best trade-off between sub-optimality and computation speed.
Proceedings ArticleDOI
A new heuristic approach to deal with discrete variables in optimal power flow computations
TL;DR: A new heuristic approach to deal with discrete variables in an optimal power flow (OPF) that relies on the first order sensitivity of the objective and inequality constraints with respect to the discrete variables.
Journal ArticleDOI
A Multistage Solution Approach for Dynamic Reactive Power Optimization Based on Interval Uncertainty
Xiaodong Shen,Yang Liu,Yan Liu +2 more
TL;DR: This paper presents a novel approach focusing on dealing with the issues aforementioned in dynamic reactive power optimization (DRPO) to relax the nonconvex power flow equations to obtain a mixed integer quadratic programming model which can be solved using software packages such as CPLEX and GUROBI.
Journal ArticleDOI
Choosing the appropriate boundary for adaptive reduction (power system load flow)
Y. Chen,Anjan Bose +1 more
TL;DR: In this article, the problem of determining the minimal reduced model size to work in conjunction with adaptive reduction is considered, and guidelines are developed for choosing the appropriate boundary when this can be done offline.
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.