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Light & Engineering 26 (2)

Light & Engineering 26 (2)

Volume 26
Date of publication 07/01/2018
Pages 149-155

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Cost-Benefit Analysis under the DSM Model of Green Lighting . L&E 26 (2) 2018
Articles authors:
Yanjiang GONG, Jiang LI, Wenshuang YU, Runbing YANG, Tiejun ZHOU

Doctor of Agricultural Electrification and Automation. Graduated from the Northeast Agricultural University. The research directions are fault diagnosis of cable, fault location of power grid, comprehensive energy saving of power grid, and microgrid technology

Doctor of Power System and Automation. Graduated from the Beijing Jiaotong University. The research directions are distribution network planning, distribution automation, comprehensive energy saving of power grid, distributed generation and microgrid technology

Doctor of Electrical Engineering and Automation. Graduated from the North China Electric Power University. The research directions are distribution network planning, comprehensive energy saving of power grid

Doctor of Electrical Engineering and Automation. Graduated from the North China Electric Power University. The research directions are distribution network planning, comprehensive energy saving of power grid

Doctor of Agricultural Electrification and Automation. Graduated from the North China Electric Power University. The research directions are distribution network planning and automation, distributed generation and microgrid technology

Abstract
Based on the concept of DSM and the requirements of the demonstration project, the DSM model of green lighting was studied, carrying out the cost-benefit analysis. Combining the characteristics of the demonstration area, first of all, the cost-benefit of different interest subjects was analyzed. Secondly, the association rules algorithm was analyzed in detail, and the cost-benefit was analyzed by the association rules algorithm. Finally, the sensitivity analysis of the key factors, affecting the cost and benefit of each interest subject, was done by using the algorithm. And it is concluded that the user subsidy rate and consumer electricity price are the key factors that affect the userТs willingness to use green lighting technology and power grid enterprises to implement DSM measures.
References
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