DocumentCode :
541429
Title :
Research on optimization of trading for different objective in Shanghai power grid considering demand side participation
Author :
Yao, Jun-yu ; Liu, Jun-yong ; Liu, You-bo ; Xu, Wei-ting ; Zhao, Yan ; Li, Lei
Author_Institution :
Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
1
Lastpage :
8
Abstract :
It is real-time interaction in the electrical characteristics between purchasing side and selling side of power grid, those two balanced at any time scales. So power optimization is a problem that is essentially overall optimization of transaction of purchasing and selling electricity. Trading patterns will change with fluctuations of demand-side response introduced in power market, mainly in trade diversified options in optimization objectives. The paper formulated series of problems of optimization on the electricity purchasing and selling, analysed the existing shortage of electricity trading models and study great theoretical significance and practical engineering value of the efficient, economic, and environmental protection operations in electricity trading on the Shanghai grid future electricity market with the demand-side participation. According to Shanghai electrical network actual data (various time intervals electric quantity of 6 professions and 8 power plants), models were separately found from different objectives based on the transaction benefit to highest, the accumulation benefit of trade transmission losses to be most superior and the effect of energy saving and emission reducing to most optimal. Trading volume and income were obtained in various time intervals of various models of various industries and power plants, as well as the most superior trading distribution in different electricity price adjustment after the demand elastic response in Shanghai power grid. It is proved the model accuracy and the objectivity. The article integrated the demand characteristic into the electric trading, which is closer to the essence of power market, to take a research respond of power market and provide the technical support of the linkage between purchasing and selling electricity side in power market.
Keywords :
demand side management; environmental factors; optimisation; power markets; purchasing; Shanghai power grid; demand-side response; electricity market; electricity purchasing; electricity trading optimisation; environmental protection; power market; power optimization; transaction optimization; Analytical models; Artificial neural networks; Electricity; Industries; Matrix decomposition; Textiles; Shanghai power grid; demand response; electricity purchasing and selling; energy saving and emission reducing; transmission losses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-0066-8
Type :
conf
Filename :
5736146
Link To Document :
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