DocumentCode
437408
Title
Solving a nodal spot market with voltage value functions using a hybrid optimization algorithm
Author
Kim, Seon Gu ; Outhred, H. ; MacGill, I.
Author_Institution
Sch. of Electr. Eng., New South Wales Univ., NSW, Australia
Volume
1
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
548
Abstract
The problem of managing voltage quality in a nodal spot market can be commercialized by incorporating a voltage value function (VVF) in each bid or offer function. The VVF allows market participants to specify the value they place on voltage quality by specifying their preferred voltage magnitude and tolerance parameters. From an economic perspective, this approach internalizes voltage management into a nodal spot market. It requires the use of a full AC network model. However, the resulting optimization problem might become non-convex and an optimization algorithm based on a gradient search method may not find the optimal solution. In this paper, we apply a hybrid optimization method that combines a probabilistic approach with deterministic optimization to improve the rate of market convergence and permit greater flexibility in the choice of voltage value function.
Keywords
gradient methods; optimisation; power markets; probability; AC network model; gradient search method; hybrid optimization algorithm; nodal spot market; optimization problem; probabilistic approach; voltage quality; voltage value function; voltage value functions; Commercialization; Constraint optimization; Electricity supply industry; Load flow; Mathematical model; Optimization methods; Power system modeling; Pricing; Quality management; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
Print_ISBN
0-7803-8610-8
Type
conf
DOI
10.1109/ICPST.2004.1460055
Filename
1460055
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