DocumentCode
3214714
Title
Opportunities for active DER management in deferral of distribution system reinforcements
Author
Haesen, E. ; Alarcon-Rodriguez, A.D. ; Driesen, J. ; Belmans, R. ; Ault, G.
Author_Institution
Dept. of Electr. Eng., KU Leuven, Leuven
fYear
2009
fDate
15-18 March 2009
Firstpage
1
Lastpage
8
Abstract
Power systems worldwide have gone through a transition from vertically integrated into liberalized energy markets. At the same time, increased environmental concerns are promoting the use of renewable and efficient generation technologies. Consequently, a growing number of small-scale distributed energy resources (DER) are being installed in distribution systems. Passive operation of DER can result in severe grid operation problems. In contrast, active DER management can bring mutual benefits for the DER owner as well as distribution system operators (DSO). In this article a flexible multi-objective optimization scheme is presented in which DER placement and optimal ancillary services are evaluated and compared with conventional grid reinforcements. This allows assessing the potential of optimal active DER management and evaluating different tariff schemes for DER connection at different levels of DER in the grid. The proposed method uses a hybrid strength Pareto evolutionary algorithm (SPEA2) with a distribution optimal power flow (OPF). Results are analyzed using the UKGDS 355-bus system.
Keywords
Pareto optimisation; evolutionary computation; power distribution; power markets; power system management; UKGDS 355-bus system; active DER management; distributed energy resources; distribution optimal power flow; distribution system operators; distribution system reinforcements; flexible multi-objective optimization scheme; grid reinforcements; liberalized energy markets; passive operation; power systems; strength Pareto evolutionary algorithm; tariff schemes; Density estimation robust algorithm; Distributed control; Energy resources; Evolutionary computation; Load flow; Mesh generation; Power system management; Power system planning; Production; Uncertainty; Distributed Energy Resources; Multi-objective Optimization Methods; Power Distribution Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-3810-5
Electronic_ISBN
978-1-4244-3811-2
Type
conf
DOI
10.1109/PSCE.2009.4839997
Filename
4839997
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