DocumentCode :
1777865
Title :
The power system multi-objective optimization dispatching containing virtual power plant
Author :
Huaxin Cheng ; Yajing Gao ; Jing Zhang ; Ruihuan Li ; Haifeng Liang
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
3316
Lastpage :
3321
Abstract :
Under the background of the rapid development of new energy technology, the concept of virtual power plant (VPP), which is composed of multiple types of DER, is proposed and a power system multi-objective optimization dispatching model of SCUC problem comprehensively considering total power generation costs, pollution treatment costs, unit start-up and stop costs is established and the node power transfer factor is introduced to deal with the static security constraints under DC load flow. The improved particle swarm optimization (IMPSO), a combination of PSO and Binary PSO (BPSO), is employed, and Matlab platform is used to solve the above model. At last, a case is adopted to prove the validity and feasibility of model and algorithm, which confirms that the research of VPP participating in dispatching is of far-reaching significance.
Keywords :
load flow; particle swarm optimisation; power factor; power generation dispatch; power system simulation; BPSO; DC load flow; IMPSO; Matlab platform; SCUC; VPP; binary PSO; improved particle swarm optimization; pollution treatment costs; power generation costs; power system multiobjective optimization dispatching model; power transfer factor; virtual power plant; Density estimation robust algorithm; Dispatching; Linear programming; Optimization; Pollution; Power generation; Power systems; DER; IMPSO; VPP; node power transfer factor; optimal dispatching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993875
Filename :
6993875
Link To Document :
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