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Secondary voltage control using pilot point information

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TLDR
In this article, the minimal information structure needed for monitoring and control of the voltage profile and the reactive power flow of a power system is studied, focusing on the minimum amount of information (data) required for reliable decision-making.
Abstract
The authors study the minimal information structure needed for monitoring and control of the voltage profile and the reactive power flow of a power system. Emphasis is on the minimum amount of information (data) required for reliable decision-making. An effort is made to work with fewer voltage data and therefore make the real-time monitoring and control more manageable. An annealing algorithm for selecting pilot points is presented. These are the load buses at which the voltage is to be measured in real time. Simulation results obtained with the algorithm for the Central Illinois Light Company system are presented. >

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Transmission system expansion planning by simulated annealing

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References
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Journal ArticleDOI

Cooling Schedules for Optimal Annealing

TL;DR: A Monte Carlo optimization technique called “simulated annealing” is a descent algorithm modified by random ascent moves in order to escape local minima which are not global minima.
Journal ArticleDOI

Survey of the Secondary Voltage Control in France : Present Realization and Investigations

TL;DR: In this article, the authors present a review of the present regional secondary voltage control, and the prospects for the evolution towards a co-ordinated system, based on a sensitivity matrix model, closed-loop pole assignment and adaptive techniques.
Proceedings ArticleDOI

A tutorial survey of theory and applications of simulated annealing

TL;DR: The basic theory of simulated annealing is reviewed, its recent applications are surveyed, and the theoretical approaches that have been used to study the technique are surveyed.
Journal ArticleDOI

Optimum Control of Reactive Power Flow

TL;DR: In this paper, the problem of minimizing the operating cost of a power system by proper selection of the active and reactive productions is formulated as a nonlinear programming problem, and an efficient computational procedure based on the Newton-Raphson method for solving the power-flow equations and on the dual Lagrangian variables of the Kuhn and Tucker theorem is discussed.
Journal ArticleDOI

Real Time Control of System Voltage and Reactive Power

TL;DR: In this article, a centralized optimizing computational algorithm for the on-line control of voltage and reactive power is presented, where the body of the paper is divided into two parts: the main body is devoted to the analysis and the body is dedicated to the implementation of the algorithm.
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