DocumentCode :
1778341
Title :
Electricity pricing and social benefits analysis in interaction between supply and demand
Author :
Chao Du ; Xifan Wang ; Xiuli Wang ; Chengcheng Shao ; Jing Shi
Author_Institution :
Dept. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
20-23 May 2014
Firstpage :
323
Lastpage :
327
Abstract :
Electricity price as a market lever plays a key role in interaction between supply and demand. Considering that electricity price in sale market is still regulated in some countries like China, we propose a new method of formulating peak-valley price (PVP) and interruptible price (IP) based on maximizing social benefits. Through implementation of the pricing measures, demand-side resources can be better integrated and exploited. In addition, advantages are complementary when two pricing measures are implemented together. Probabilistic production simulation and genetic algorithms (GA) are used as tools for solving. Results show that the proposed pricing mechanisms are reasonable and implementation of PVP and IP can bring more social benefits.
Keywords :
genetic algorithms; power markets; pricing; probability; China; GA; IP; PVP; demand-side resources; electricity pricing measures; genetic algorithms; interruptible price; peak-valley price; probabilistic production simulation; sale market lever; social benefits analysis; supply-and-demand; Asia; Elasticity; Electricity; IP networks; Load management; Pricing; Smart grids; genetic algorithms; interruptible price; peak-valley price; pricing measure; probabilistic production simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
Conference_Location :
Kuala Lumpur
Type :
conf
DOI :
10.1109/ISGT-Asia.2014.6873811
Filename :
6873811
Link To Document :
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