Voltage management of distributed generation in distribution networks

Utility power systems are faced to an increasing number of small size producers requiring interconnection, particularly to the low voltage (LV) network. Since most distribution systems are not designed to accept large scale power injections, these small generation units may impact on their interconnected networks. The quality of the supplied energy may be altered, and the reliability and the safety of the whole distribution system from LV to medium voltage (MV) levels may be affected. The aim of this paper is to establish a new methodology to find the best location for remotely controlled distributed generators (DG). As global optimizations with multi-objectives functions may be hazardous, and may lead to different solutions (locally optimal), the goal of the method is to provide an expert analysis of the system, to help the optimization process. The proposed methodology has been validated with a particular case of voltage profile (LV/MV). The test-system used for this study is a real urban network containing 11 feeders with 2 transformers of 36 MVA. One feeder was simulated with DG and managed.

[1]  P. Kundur,et al.  Power system stability and control , 1994 .

[2]  N. Hadjsaid,et al.  Impact assessment of LV distributed generation on MV distribution network , 2002, IEEE Power Engineering Society Summer Meeting,.

[3]  J. Momoh Electric Power System Applications of Optimization , 2000 .

[4]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5]  Andrija T. Saric,et al.  An Integrated Fuzzy Concept for Multi-Objective Capacitor Placement Optimization in Distribution Networks , 2002 .

[6]  Victor H. Quintana,et al.  Interior-point methods and their applications to power systems: a classification of publications and software codes , 2000 .

[7]  R. B. Squires,et al.  Economic Dispatch of Generation Directly Rrom Power System Voltages and Admittances , 1960, Transactions of the American Institute of Electrical Engineers Part III Power Apparatus and Systems.

[8]  John E. Dennis,et al.  Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..

[9]  A. Yokoyama,et al.  Optimal location of phase shifters in the French network by genetic algorithm , 1999 .

[10]  W. Ongsakul,et al.  Constrained Economic Dispatch by Combined Genetic and Simulated Annealing Algorithm , 2002 .

[11]  Nick Jenkins,et al.  Embedded Generation (Power & Energy Ser. 31) , 2000 .