DocumentCode :
571153
Title :
Dispatch optimization and economic evaluation of distributed generation in a virtual power plant
Author :
Schäfer, A. ; Moser, A.
Author_Institution :
Inst. of Power Syst. & Power Econ., RWTH Aachen Univ., Aachen, Germany
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
The future share of distributed generation units is likely to increase due to political requests as well as to politically driven subsidies in European and international energy supply systems. This increase implies a rising impact of the distributed generation units as well as of distributed storages and concepts of load management for supply companies. Most of the units are currently subsidized by governmental feed-in tariffs. As these subsidies are retrogressive, the necessity of evaluating small generators as part of the supply system arises. One option of market participation for dispersed generation is the aggregation in terms of a “virtual power plant”, thus representing one single generation or demand unit for the market. In this paper, different distributed generation, storage and load management options are presented and an optimization method for simulating a virtual power plant in different markets for electrical energy is introduced in order to demonstrate the benefits of such a concept. The optimization method is then applied to an exemplary scenario of a local utility company by aggregating the existing distributed units in one virtual power plant.
Keywords :
cogeneration; distributed power generation; load management; optimisation; power generation dispatch; power generation economics; power generation planning; power markets; smart power grids; European energy supply systems; dispatch optimization; dispersed generation; distributed generation units; distributed storages; economic evaluation; electrical energy; governmental feed-in tariffs; international energy supply systems; load management; local utility company; optimization method; supply companies; virtual power plant; Cogeneration; Distributed power generation; Load modeling; Optimization; Portfolios; Thermal loading; Cogeneration; Distributed Power Generation; Load Management; Power Generation Planning; Smart Grids; Thermal Storage Systems; Virtual Power Plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2012 IEEE
Conference_Location :
Cleveland, OH
Print_ISBN :
978-1-4673-1836-5
Electronic_ISBN :
978-1-4673-1834-1
Type :
conf
DOI :
10.1109/EnergyTech.2012.6304655
Filename :
6304655
Link To Document :
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