DocumentCode :
136044
Title :
Optimal economic power dispatch in the presence of intermittent renewable energy sources
Author :
Elsaiah, Salem ; Benidris, Mohammed ; Mitra, Joydeep ; Cai, Niannian
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper describes a method for solving the economic power dispatch problem in the presence of renewable energy sources. The method proposed in this paper uses linear programming because linear programming based formulations tend to be flexible, reliable, and faster than their nonlinear counterparts. A linearized network model in the form of DC power flow model is utilized in this paper. Thermal limits of transmission lines and real power constraints have both been considered in the proposed model. In addition, piecewise linear models for generating units cost curves are developed during the realization of the presented work. A micro-power optimization model based on Homer software is used to account for the uncertainty in the output power of the intermittent renewable energy sources. The proposed linear programming based method is demonstrated on the standard IEEE 30 bus system. Test results are reported, discussed, and thoroughly analyzed.
Keywords :
linear programming; load flow; piecewise linear techniques; power generation dispatch; power generation economics; renewable energy sources; DC power flow model; Homer software; IEEE 30 bus system; economic power dispatch; generating units cost curves; linear programming based formulations; linear programming based method; linearized network model; micropower optimization model; piecewise linear models; renewable energy sources; transmission lines thermal limits; Economics; Generators; Linear programming; Renewable energy sources; Wind speed; Wind turbines; Economic dispatch; linear programming; renewable energy; wind turbine generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939903
Filename :
6939903
Link To Document :
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