Reactive Power and Voltage Control in Distribution Systems With Limited Switching Operations

An algorithm based on a nonlinear interior-point method and discretization penalties is proposed in this paper for the solution of the mixed-integer nonlinear programming (MINLP) problem associated with reactive power and voltage control in distribution systems to minimize daily energy losses, with...

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Published in:IEEE transactions on power systems Vol. 24; no. 2; pp. 889 - 899
Main Authors: Liu, M.B., Canizares, C.A., Huang, W.
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
Subjects:
Algorithms
Control systems
Distribution systems
Dynamic programming
Dynamic scheduling
Electric potential
Energy loss
Genetic algorithms
interior point methods
Mathematical models
mixed integer nonlinear programming
nonlinear programming
optimal switching operations
optimization solvers
Power system modeling
Reactive power
Reactive power control
Sparse matrices
Studies
Substations
Switched capacitor networks
Switching
Voltage
Voltage control
ISSN:0885-8950, 1558-0679, 1558-0679
Online Access:Get full text
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Summary:An algorithm based on a nonlinear interior-point method and discretization penalties is proposed in this paper for the solution of the mixed-integer nonlinear programming (MINLP) problem associated with reactive power and voltage control in distribution systems to minimize daily energy losses, with time-related constraints being considered. Some of these constraints represent limits on the number of switching operations of transformer load tap changers (LTCs) and capacitors, which are modeled as discrete control variables. The discrete variables are treated here as continuous variables during the solution process, thus transforming the MINLP problem into an NLP problem that can be more efficiently solved exploiting its highly sparse matrix structure; a strategy is developed to round these variables off to their nearest discrete values, so that daily switching operation limits are properly met. The proposed method is compared with respect to other well-known MINLP solution methods, namely, a genetic algorithm and the popular GAMS MINLP solvers BARON and DICOPT. The effectiveness of the proposed method is demonstrated in the well-known PG&E 69-bus distribution network and a real distribution system in the city of Guangzhou, China, where the proposed technique has been in operation since 2003.
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(© 2009 IEEE) Liu, M. B., Canizares, C. A., & Huang, W. (2009). Reactive power and voltage control in distribution systems with limited switching operations. IEEE Transactions on Power Systems, 24(2), 889–899. https://doi.org/10.1109/tpwrs.2009.2016362
ISSN:0885-8950
1558-0679
1558-0679
DOI:10.1109/TPWRS.2009.2016362