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
A framework of utilizing distribution power systems as reactive power prosumers for transmission power systems
Yu Zhou,Zhengshuo Li,Ming Yang +2 more
TL;DR: Case studies show that a DPS is workable as a reactive power prosumer even with notable uncertainty in the DERs, and the proposed linear evaluation method manages to evaluate the RPP fast with reasonable accuracy.
Journal ArticleDOI
Application of Newton optimal power flow to assessment of VAr control sequences on voltage security: case studies for a practical power system
Ying-Yi Hong,C.-M. Liao,T.-G. Lu +2 more
TL;DR: In this article, the application of the Newton optimal power flow (OPF) approach to the assessment of VAR controllers on voltage security in the Taiwan Power Company (TPC) is presented.
Journal ArticleDOI
Reactive Power Optimization for Distribution Network Based on Distributed Random Gradient-Free Algorithm
TL;DR: In this article, a distributed reactive power optimization algorithm that can obtain the global optimum solution based on random gradient-free algorithm for distribution network without requiring a central coordinator is presented, which can realize the overall network voltage optimization and power loss minimization simultaneously.
Proceedings ArticleDOI
Optimal power flow with limited and discrete controls
TL;DR: This paper addresses deficiencies in optimal power flow software by exploring the use of a sparsity-inducing penalty to obtain a more manageable number of control adjustments, and theUse of a distributed line-search for exploring the space of discrete variables.
Journal ArticleDOI
PCPDIPM based optimal reactive power flow model with discrete variables
TL;DR: In the PCPDIPM based ORPF solution, the quadratic discretization formulation results in the constant Hessians that all have elements of 1, or −1, or the penalty factor, and mostly being zero, thereby accelerating the entire optimal process significantly.
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.