Designing interruptible load management scheme based on customer performance using mechanism design theory

Author(s):  
Xuehui Jian ◽  
Li Zhang ◽  
Xiaofeng Miao ◽  
Yumin Zhang ◽  
Xueshan Han
2009 ◽  
Vol 129 (2) ◽  
pp. 283-290 ◽  
Author(s):  
Junji Kondoh ◽  
Ahmed Shafiu ◽  
Nick Jenkins ◽  
Danny Pudjianto ◽  
Goran Strbac

2019 ◽  
Vol 14 (1) ◽  
pp. 125-133 ◽  
Author(s):  
Reza Mahroo‐Bakhtiari ◽  
Milad Izadi ◽  
Amir Safdarian ◽  
Matti Lehtonen

2011 ◽  
Vol 09 (01) ◽  
pp. 615-623 ◽  
Author(s):  
HAOYANG WU

Quantum strategies have been successfully applied to game theory for years. However, as a reverse problem of game theory, the theory of mechanism design is ignored by physicists. In this paper, the theory of mechanism design is generalized to a quantum domain. The main result is that by virtue of a quantum mechanism, agents who satisfy a certain condition can combat "bad" social choice rules instead of being restricted by the traditional mechanism design theory.


2010 ◽  
Vol 26-28 ◽  
pp. 809-812
Author(s):  
Hai Dong Yu ◽  
Bo Tao Zhang ◽  
Yan Chun Wang

This paper proposed a new interests game model with dynamic correlation analysis in distributed virtual environment based on mechanism design theory. The game definitions in correlation network and interest matrix were given and an analysis approach to find out the interest focus of virtual agents and administrator was presented. Thus a prototype virtual environment game system was implemented to demonstrate the effects of our approach in optimizing the visual rendering process and highlighting the collaborative perception according to payoffs under imperfect information condition.


2013 ◽  
Vol 732-733 ◽  
pp. 1427-1431
Author(s):  
Jin Feng Wang ◽  
Rong Zhu ◽  
Yan Jiang

Due to the uncertain price and stochastic load, power supply companies will face the trade-off between profits and risks when exercising Interruptible Load Management (ILM). Customers of different type are looked as sub-markets with different risk and benefit. A model is established for Interruptible Load (IL) in the framework of portfolio theory, with the object of maximizing the expected profits and risks of conditional value at risk (CVaR). Genetic Algorithm (GA), is adopted to solve the model. Finally, a numerical example is served for demonstrating the market property of high profits accompanied by high risks and the feasibility of the proposed model, thus a reference is provided to a power supply company to manage risks.


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