Price-Responsive Demand Management for a Smart Grid World

2010 ◽  
Vol 23 (1) ◽  
pp. 7-20 ◽  
Author(s):  
Hung-po Chao
Keyword(s):  
Author(s):  
Chedly B. Yahya ◽  
Samir El-Nakla ◽  
Omar K. M. Ouda ◽  
Fahad Al-Taisar ◽  
Saif Al-Saif ◽  
...  

2014 ◽  
Vol 2 (2) ◽  
pp. 11-14
Author(s):  
Sang-Hyun Lee ◽  
Dae-Won Park ◽  
Kyung-Il Moon

Author(s):  
Isidro Fraga Hurtado ◽  
Julio Rafael Gómez Sarduy ◽  
Percy Rafael Viego Felipe ◽  
Vladimir Sousa Santos ◽  
Enrique Ciro Quispe Oqueña

Smart grids can be considered as a concept that integrates electrical, automatic control, information, and communication technologies. This concept constitutes a fundamental complement in the integration of renewable energy sources in electrical power systems. Although its application is fundamentally framed in transmission and distribution networks, it could also be implemented in industrial electrical systems. This article aims to analyze the advantages of implementing solutions based on smart grids in the industrial sector. Likewise, the results of its implementation in the large industry in the province of Cienfuegos, Cuba are presented. Specifically, reactive compensation, voltage, and demand management controls were integrated into a Supervision, Control, and Data Acquisition system forming a smart grid. It is shown that, in industries where infrastructure and equipment conditions exist, it is possible to successfully implement solutions with the functionalities and benefits inherent to smart grids.


The smart grid is an integrated management ofpower demand and supply that cannot be achieved withoutefficient power demand management because it integratesinformation technology and shares power information in real timeto maximize power efficiency. Efficient power demandmanagement must prevent or minimize risks in advance betweenthe customer and the demand management provider. This studyproposes a method that can evaluate the risks that impede efficientpower demand management and select the most robust demandmanagement provider with respect to these risks. This paperapplies the Grey system theory to obtain objectivity by calculatingthe quantitative value and risk ambiguity of uncertainty. Sixpower demand management service providers are evaluatedthrough the opinion of four risk management experts consideringeight risk factors with a view to selecting the optimum powerdemand management service provider for the consumer. Inconclusion, this study applies the Grey system theory to the riskfactors of six power demand management service providers,determines the ranking from the best power demand managementservice provider to the inferior power demand managementservice provider, and provides the most desirable provider tocustomers.


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