Cloud manufacturing is a new kind of networked manufacturing model.In this model,manufacturing resources are organized and used on demand as marketoriented services.These services are highly uncertain and focus on use...Cloud manufacturing is a new kind of networked manufacturing model.In this model,manufacturing resources are organized and used on demand as marketoriented services.These services are highly uncertain and focus on users.The information between service demanders and service providers is usually incomplete.These challenges make the resource scheduling more difficult.In this study,an iterative double auction mechanism is proposed based on game theory to balance the individual benefits.Resource demanders and providers act as buyers and sellers in the auction.Resource demanders offer a price according to the budget,the delivery time,preference,and the process of auction.Meanwhile,resource providers ask for a price according to the cost,maximum expected profit,optimal reservation price,and the process of auction.A honest quotation strategy is dominant for a participant in the auction.The mechanism is capable of guaranteeing the economic benefits among different participants in the market with incomplete information.Furthermore,the mechanism is helpful for preventing harmful market behaviors such as speculation,cheating,etc.Based on the iterative double auction mechanism,manufacturing resources are optimally allocated to users with consideration of multiple objectives.The auction mechanism is also incentive compatibility.展开更多
Phase measurement unit(PMU)is the key equipment for electric power system,which has been used to monitor and control power grid.But it is too expensive to deploy on each bus.So,we need to investigate how to deploy PMU...Phase measurement unit(PMU)is the key equipment for electric power system,which has been used to monitor and control power grid.But it is too expensive to deploy on each bus.So,we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers.This problem is called the optimal PMU placement(OPP).In this paper,we employ differential evolution(DE)algorithm to solve the OPP problem.Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU.The proposed method is tested on IEEE 14-bus system,IEEE 30-bus system and IEEE 57-bus system respectively with considering the zero injection.展开更多
文摘Cloud manufacturing is a new kind of networked manufacturing model.In this model,manufacturing resources are organized and used on demand as marketoriented services.These services are highly uncertain and focus on users.The information between service demanders and service providers is usually incomplete.These challenges make the resource scheduling more difficult.In this study,an iterative double auction mechanism is proposed based on game theory to balance the individual benefits.Resource demanders and providers act as buyers and sellers in the auction.Resource demanders offer a price according to the budget,the delivery time,preference,and the process of auction.Meanwhile,resource providers ask for a price according to the cost,maximum expected profit,optimal reservation price,and the process of auction.A honest quotation strategy is dominant for a participant in the auction.The mechanism is capable of guaranteeing the economic benefits among different participants in the market with incomplete information.Furthermore,the mechanism is helpful for preventing harmful market behaviors such as speculation,cheating,etc.Based on the iterative double auction mechanism,manufacturing resources are optimally allocated to users with consideration of multiple objectives.The auction mechanism is also incentive compatibility.
基金This work was supported by National Natural Science Foundation of China under grant 71071116Key Project of Basic Research of Shanghai Committee of Science&Technology under grant 10JC1415300Program for New Century Excellent Talents in University of Ministry of Education of China under grant 306023.
文摘Phase measurement unit(PMU)is the key equipment for electric power system,which has been used to monitor and control power grid.But it is too expensive to deploy on each bus.So,we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers.This problem is called the optimal PMU placement(OPP).In this paper,we employ differential evolution(DE)algorithm to solve the OPP problem.Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU.The proposed method is tested on IEEE 14-bus system,IEEE 30-bus system and IEEE 57-bus system respectively with considering the zero injection.
