DocumentCode
2632458
Title
The capacity cost allocation model for retail electricity customers considering load patterns
Author
Hai-tao, Huang ; Li-zi, Zhang ; Yu, Chen ; Hui-ting, Qiao
Author_Institution
Dept. of Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fYear
2011
fDate
21-23 June 2011
Firstpage
45
Lastpage
50
Abstract
In China and other developing countries, the electricity retail pricing structure is still based on customer classification, and capacity cost allocation is a long-term and important issue. To allocate capacity cost for various customers is relation to their time-varying load characteristics. For this, the paper in-depth analyses the relationship between the power system generation capacity responsibility and the time-varying characteristics of power load demand, applying the economic ideas and methods of the peak-load problem; presents a capacity cost responsibility model, by which the power generation capacity cost is allocated for system load in all time; and then established the classified customer cost-sharing model of power generation capacity with peak-load pricing theory, which takes into account the users load characteristics and overcomes the shortcoming of the existing methods that generation capacity responsibility is only dependence on the power load value at a given moment. Cases verify the rationality and fairness of the cost-sharing model.
Keywords
power generation economics; power markets; pricing; capacity cost allocation model; capacity cost responsibility model; customer cost-sharing model; electricity retail pricing structure; load patterns; peak-load pricing theory; power load demand; power system generation capacity; retail electricity customer classification; time-varying load characteristics; Analytical models; Economics; Electricity; Load modeling; Power systems; Pricing; Resource management; Capacity cost allocation; Electrical retail pricing; Load pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location
Beijing
ISSN
pending
Print_ISBN
978-1-4244-8754-7
Electronic_ISBN
pending
Type
conf
DOI
10.1109/ICIEA.2011.5975548
Filename
5975548
Link To Document