scholarly journals Optimal endogenous carbon taxes for electric power supply chains with power plants

2006 ◽  
Vol 44 (9-10) ◽  
pp. 899-916 ◽  
Author(s):  
Anna Nagurney ◽  
Zugang Liu ◽  
Trisha Woolley
2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Yu-Chi Wu ◽  
Wen-Liang Huang ◽  
Yi-Fan Hsu ◽  
Sheng-Ching Wang ◽  
Jin-Yuan Lin ◽  
...  

A modeling and computational framework is presented for the determination of optimal carbon taxes that apply to electric power plants in the context of electric power supply chain with consideration of transmission constraints and losses. In order to achieve this goal, a generalized electric power supply chain network equilibrium model is used. Under deregulation, there are several players in electrical market: generation companies, power suppliers, transmission service providers, and consumers. Each player in this model tries to maximize its own profit and competes with others in a noncooperative manner. The Nash equilibrium conditions of these players in this model form a finite-dimensional variational inequality problem (VIP). By solving this VIP via an extragradient method based on an interior point algorithm, the optimal carbon taxes of power plants can be determined. Numerical examples are provided to analyze the results of the presented modeling.


Author(s):  
Yu-Chung Tsao ◽  
Thuy-Linh Vu ◽  
Jye-Chyi Lu

The electric power supply chain network plays an important role in the world economy. It powers our homes, offices, and industries and runs various forms of transportation. This paper considers an electric power supply chain network design problem featuring differential pricing and preventive maintenance. We demonstrate that this general model can be formulated as the centralized and decentralized supply chain models. A continuous approximation approach is used to model the problems. The objective of these models is to determine the optimal power plants’ service area, electricity price, and preventive maintenance budget while maximizing the total network profit or the own organization’s benefits. Our model is applied to the case of a power company in northern Vietnam. We show that the proposed approach can be used to address real-world cases effectively. The results demonstrate that the use of differential pricing policy and preventive maintenance could much enhance power company profit.


2012 ◽  
Vol 23 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Heinz-Peter Berg ◽  
Nicole Fritze

Abstract The high failure frequency and the resultant reliability and safety implications in recent years of transformers, in particular at nuclear power plants (NPP), required an in-depth assessment. Fires of main transformers are considered as critical because of the large quantity of oil in contact with high voltage elements. Therefore, these phenomena have been investigated in more detail using the information from the OECD FIRE database for NPP. 12.8 % of all fires and, thus, the most frequent fire source in this database are transformer fires, mainly fires of high voltage oil-filled transformers. Thus, possible diagnostic measures to avoid such events and enhance the reliability currently discussed in Germany are shortly described. Moreover, consequences of transformer failures with respect to a reliable electric power supply are addressed.


2019 ◽  
Vol 124 ◽  
pp. 05068
Author(s):  
A Fedotov ◽  
R Misbakhov ◽  
N Chernova ◽  
K Bakhteev ◽  
A Akhmetshin

In autonomous electric power supply systems of remote areas of the country where there are no centralized electric power supply, diesel generator units (DGU), and gas piston installations (GPI) is used as a source of electrical power. Selection of their nominal power determined load value, for which the preliminary calculation using the standard values. Researches of electric power profiles for apartment and public buildings of the Republic of Tatarstan showed a significant difference from the current regulatory values. At present, the regions are granted the right to independently set specific loads for such objects. The article proposes a method for selecting the power of autonomous power plants for actual loads for urban and rural settlements.


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