DocumentCode
2070761
Title
Risk Decision-Making for Purchasing Electricity in Multi-market on the Basis of Variance
Author
Huo, Xiao-jiang ; Liu, Zhong-jing
Author_Institution
HuaZhong Univ. of Sci. & Technol., Wuhan, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
79
Lastpage
82
Abstract
Aiming at the risk management that electricity purchasers will face in power purchase of four markets under the framework of the electricity market, two purchasing electricity models about the restrictions or non-restriction are set up by means of Variance measuring risk. Meanwhile, this paper also proposes several feasible algorithms to minimize risks, including statistical genetic algorithms (SGA) on the basis of historic data. Lastly, a simulation-sample for one of models is given in this essay.
Keywords
decision making; genetic algorithms; power markets; risk management; statistical analysis; SGA; multimarket electricity purchasing; risk decision making; risk management; statistical genetic algorithms; variance measuring risk; Consumer electronics; Contracts; Decision making; Distribution strategy; Educational institutions; Electric variables measurement; Electricity supply industry; Energy consumption; Mesh generation; Portfolios; Risk; SGA; decision-making model; electricity purchasers; variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6325-1
Electronic_ISBN
978-1-4244-6326-8
Type
conf
DOI
10.1109/ISISE.2009.107
Filename
5447203
Link To Document