DocumentCode :
190384
Title :
Look ahead Volt/VAR Control: A comparison of integrated and coordinated methods
Author :
Genc, Sahika ; Baggu, Murali
Author_Institution :
Model-Based Control Lab., Gen. Electr. Global Res., Niskayuna, NY, USA
fYear :
2014
fDate :
14-17 April 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, multiple approaches for solving Volt/VAR Control (VVC) optimization problem are compared. Two different VVC schemes are evaluated in detail for managing Distribution control assets such as Load Tap Changers, capacitor banks and voltage regulators on day ahead basis to achieve multiple objective functions by minimizing switching operations of the assets. The first approach is an integrated optimization based on a dynamic programming algorithm converging to a global optimal solution with the drawback of time of convergence. The second approach is a coordinated optimization algorithm that is computationally efficient at the expense of optimality (an approximate solution to the minimum cost of the objective function). The algorithms are applied on a real world distribution network. Robust Matlab/OpenDSS simulation platform is used to compare the effectiveness of the algorithms.
Keywords :
dynamic programming; on load tap changers; optimal control; power distribution control; voltage control; voltage regulators; Matlab-OpenDSS simulation platform; capacitor banks; coordinated optimization algorithm; distribution control; dynamic programming; integrated optimization; load tap changers; look ahead volt-VAR control; optimization problem; real world distribution network; voltage regulators; Algorithm design and analysis; Capacitors; Optimization; Reactive power; Substations; Switches; Voltage control; Volt/Var control; optimal control; power distribution; reactive power control; smart grids; voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
T&D Conference and Exposition, 2014 IEEE PES
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/TDC.2014.6863263
Filename :
6863263
Link To Document :
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