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