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
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975548