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Journal ArticleDOI

Generation Rescheduling and Load Shedding to Alleviate Line Overloads-Analysis

TLDR
In this paper, two algorithms are described to solve the line overload problem in the Newton-Raphson and decoupled load flow programs, which can be used to determine the generation rescheduling and load curtailment pattern to alleviate line overloads.
Abstract
This paper deals with the problem of alleviating line overloads in a power system by generation rescheduling and load shedding. Mathematical models based on linearized relationships between line currents and state variables, and bus injected powers and state variables are systematically developed to considerthe line overload problem. Two algorithms are described to solve the models in the Newton-Raphson and decoupled load flow programs. The techniques developed can beused to determine the generation rescheduling and load curtailment pattern to alleviate line overloads. The approaches presented in this paper shouldprove useful in system security studies and reliability studies for examining line overload alleviation with minimum computational expense. The analytical results can also serve as an operating guide to the system dispatcher. In a companion paper, the effectiveness of these techniques in alleviating line overloads in several test systems is investigated.

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Citations
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Journal ArticleDOI

A survey of the optimal power flow literature

TL;DR: A survey of publications in the fields of optimal power flow and dispatching can be found in this article, where the authors suggest a classification of methods based on the choice of optimization techniques and a single flow-chart-type figure, which indicates the relationship between methods, their chronology, and their popularity.
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Genetic-algorithm-based optimal power flow for security enhancement

TL;DR: In this paper, a GA-based OPF algorithm for identifying the optimal values of generator active-power output and the angle of the phase-shifting transformer is presented, where the locations of phase shifters are selected based on sensitivity analysis.
Journal ArticleDOI

Congestion Management Using Multiobjective Particle Swarm Optimization

TL;DR: In this paper, a multiobjective particle swarm optimization (MOPSO) method is used to solve the complex nonlinear optimization problem of load flow in power transmission networks, which considers the voltage and frequency dependence of loads and generator regulation characteristics.
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A computationally simple method for cost-efficient generation rescheduling and load shedding for congestion management

TL;DR: In this paper, a method of congestion management by generation rescheduling and load shedding is described, where the sensitivities of the overloaded lines to bus injections and the costs of generation and Load shedding are considered for ranking the generation and load buses.
Journal ArticleDOI

method for generation rescheduling and load shedding to alleviate line overloads using local optimisation

TL;DR: In this paper, a local optimisation approach is proposed for load shedding and rescheduling to alleviate emergency transmission line overloads in power system operation, with the help of a local optimization concept.
References
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Journal ArticleDOI

Fast Decoupled Load Flow

TL;DR: This paper describes a simple, very reliable and extremely fast load-flow solution method that is attractive for accurate or approximate off-and on-line routine and contingency calculations for networks of any size, and can be implemented efficiently on computers with restrictive core-store capacities.
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Decoupled Newton Load Flow

TL;DR: A hybrid Newton formulation exploiting the mathematical decoupling of busbar-voltage angle and magnitude calculations has advantages over the formal Newton approach in terms of computer storage and speed, particularly in adjusted solutions, and is at least as reliably convergent.
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Transmission Planning Using a Reliability Criterion, Part I: A Reliability Criterion

TL;DR: In this paper, the application of a conditional probability approach to the determination of load point reliability indices in practical systems is discussed and illustrated by a simple hypothetical system study, where failure at a bus is defined by three planning criteria and the reliability level obtained in terms of a probability and an expected frequency of bus failure.
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Optimal Corrective Rescheduling for Power System Security

TL;DR: This paper presents a computational procedure to reschedule generation and power interchanges in an optimal manner, and it is shown to be a natural adjunct of on-line contingency evaluation.
Journal ArticleDOI

Optimal Rescheduling of Power for System Reliability

TL;DR: In this article, a computational procedure for the on-line optimal rescheduling of power generation is presented, which is used to correct an unreliable system operating state and bring a potentially dangerous condition into a secure operating state.