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Journal ArticleDOI

Some deficiencies in optimal power flow

W.F. Tinney, +3 more
- 01 May 1988 - 
- Vol. 3, Iss: 2, pp 676-683
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. >

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Citations
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Journal ArticleDOI

Curtailed number and reduced controller movement optimization algorithms for real time voltage/reactive power control

TL;DR: In this article, the problem of curtailing the number of control actions and minimizing controller movements for real-time voltage/reactive power control is addressed, and an algorithmic objective function appropriate for the treatment of system security and economy is also proposed.
Proceedings ArticleDOI

Coordinated transmission and distribution AC optimal power flow

TL;DR: A heterogeneous decomposition algorithm (HGD), which is inspired by heterogeneous transmission and distribution characteristics, is proposed to solve theTDOPF in a distributed manner and a series of numerical tests indicate that the HGD competitively solves the TDOPF.
Journal ArticleDOI

Minimisation of active power losses and number of control adjustments in the optimal reactive dispatch problem

TL;DR: A multi-objective ORD model that provides, in terms of weighting factors, trade-offs between minimal active power losses in transmission systems and minimal number of control adjustments in generator voltages, tap ratios and shunt controls is featured.
Journal ArticleDOI

External network modeling for optimal power flow applications

TL;DR: The results strongly indicate that the proposed method outperforms the extended Ward method in producing equivalent models for security control and does not create an additional burden in maintaining and updating the EMS database.
Journal ArticleDOI

Modelling of operator heuristics in dispatch for security enhancement

TL;DR: This paper addresses the problem of dispatching active and reactive power on a large interconnected power system to maintain security by models operator heuristics in the decision making process by means of fuzzy sets and demonstrates the flexibility of the new approach.
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

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

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.