As a completely new residential distribution infrastructure,energy internet facilitates transactions of equipment,energy and services. However,there is security risk under all the facilities.This paper proposes an ele...As a completely new residential distribution infrastructure,energy internet facilitates transactions of equipment,energy and services. However,there is security risk under all the facilities.This paper proposes an electricity pricing model based on insurance from the perspective of maximizing the benefits of Energy Internet service providers by using the principal-agent theory. The consumer prepays the provider insurance premiums and signs a contract. The provider sets electricity price according to the premiums and therefore provides differentiated electric services for the consumer. Loss suffered by the consumer due to the power failure is compensated by the provider according to the contract. The equivalent model is presented and a necessary condition of the optimal strategy is obtained on the basis of Pontryagin's maximum principle. At last,a numerical example is presented,which illustrates the effectiveness of the proposed model.展开更多
With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to des...With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to describe the dynamics of CO2 emission with control inputs: clean technology, reforestation and carbon tax, under stochastic uncertainties. For the efficient resources management, a robust tracking control is designed to force resources tracking a desired reference output. The worst-case effect of stochastic parametric fluctuations, external disturbances and uncertain initial conditions on the tracking performance is considered and minimized from the dynamic game theory perspective. This stochastic game problem, in which one player (stochastic uncertainty) maximizes the tracking error and another player (control input) minimizes the tracking error, could be equivalent to a robust minimax tracking problem. To avoid solving the HJI, a fuzzy model is proposed to approximate the nonlinear CO2 emission model. Then the nonlinear stochastic game problem could be easily solved by fuzzy stochastic game approach via LMI technique.展开更多
In recent decades,numerous catastrophic accidents have occurred worldwide,ranging from natural events(such as tsunamis,flooding,and earthquakes)to industrial events(such as mining and chemical process disasters).They ...In recent decades,numerous catastrophic accidents have occurred worldwide,ranging from natural events(such as tsunamis,flooding,and earthquakes)to industrial events(such as mining and chemical process disasters).They endanger humans,the environment,organizations,and societies,as well as national security.However,there have been few attempts to propose a model for assessing the required capabilities and potential challenges in crisis management system maturity(CMSM).Accordingly,this study proposes a framework for measuring CMSM levels in complex systems.To this end,a CMSM taxonomy was developed,including aspects,dimensions,and factors influencing the CMSM.Fuzzy inference sets and fuzzy analytical hierarchy processes are then used for knowledge acquisition,quantification of the CMSM,and dealing with epistemic uncertainty.An actual complex petrochemical plant is investigated to evaluate its capabilities.The findings revealed the most significant con-tributing factors:the CMSM’s current capability and challenges level(score),as well as the capacity to overcome the potential crisis response challenges.Moreover,the proposed model can be used as a practical approach for various chemical-processing plants.展开更多
基金Supported by the National Natural Science Foundation of China(No.61672494,61402437)the National High Technology Research and Development Program of China(No.2015AA016005)
文摘As a completely new residential distribution infrastructure,energy internet facilitates transactions of equipment,energy and services. However,there is security risk under all the facilities.This paper proposes an electricity pricing model based on insurance from the perspective of maximizing the benefits of Energy Internet service providers by using the principal-agent theory. The consumer prepays the provider insurance premiums and signs a contract. The provider sets electricity price according to the premiums and therefore provides differentiated electric services for the consumer. Loss suffered by the consumer due to the power failure is compensated by the provider according to the contract. The equivalent model is presented and a necessary condition of the optimal strategy is obtained on the basis of Pontryagin's maximum principle. At last,a numerical example is presented,which illustrates the effectiveness of the proposed model.
文摘With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to describe the dynamics of CO2 emission with control inputs: clean technology, reforestation and carbon tax, under stochastic uncertainties. For the efficient resources management, a robust tracking control is designed to force resources tracking a desired reference output. The worst-case effect of stochastic parametric fluctuations, external disturbances and uncertain initial conditions on the tracking performance is considered and minimized from the dynamic game theory perspective. This stochastic game problem, in which one player (stochastic uncertainty) maximizes the tracking error and another player (control input) minimizes the tracking error, could be equivalent to a robust minimax tracking problem. To avoid solving the HJI, a fuzzy model is proposed to approximate the nonlinear CO2 emission model. Then the nonlinear stochastic game problem could be easily solved by fuzzy stochastic game approach via LMI technique.
基金This research received no specific grant from the public,commercial,or not-for-profit funding agencies.
文摘In recent decades,numerous catastrophic accidents have occurred worldwide,ranging from natural events(such as tsunamis,flooding,and earthquakes)to industrial events(such as mining and chemical process disasters).They endanger humans,the environment,organizations,and societies,as well as national security.However,there have been few attempts to propose a model for assessing the required capabilities and potential challenges in crisis management system maturity(CMSM).Accordingly,this study proposes a framework for measuring CMSM levels in complex systems.To this end,a CMSM taxonomy was developed,including aspects,dimensions,and factors influencing the CMSM.Fuzzy inference sets and fuzzy analytical hierarchy processes are then used for knowledge acquisition,quantification of the CMSM,and dealing with epistemic uncertainty.An actual complex petrochemical plant is investigated to evaluate its capabilities.The findings revealed the most significant con-tributing factors:the CMSM’s current capability and challenges level(score),as well as the capacity to overcome the potential crisis response challenges.Moreover,the proposed model can be used as a practical approach for various chemical-processing plants.
