The load demand and distributed generation(DG)integration capacity in distribution networks(DNs)increase constantly,and it means that the violation of security constraints may occur in the future.This can be further w...The load demand and distributed generation(DG)integration capacity in distribution networks(DNs)increase constantly,and it means that the violation of security constraints may occur in the future.This can be further worsened by short-term power fluctuations.In this paper,a scheduling method based on a multi-objective chance-constrained information-gap decision(IGD)model is proposed to obtain the active management schemes for distribution system operators(DSOs)to address these problems.The maximum robust adaptability of multiple uncertainties,including the deviations of growth prediction and their relevant power fluctuations,can be obtained based on the limited budget of active management.The systematic solution of the proposed model is developed.The max term constraint in the IGD model is converted into a group of normal constraints corresponding to extreme points of the max term.Considering the stochastic characteristics and correlations of power fluctuations,the original model is equivalently reformulated by using the properties of multivariate Gaussian distribution.The effectiveness of the proposed model is verified by a modified IEEE 33-bus distribution network.The simulation result delineates a robust accommodation space to represent the adaptability of multiple uncertainties,which corresponds to an optional active management strategy set for future selection.展开更多
During the time of building enterprise information System （EIS）, agility of enterprise can＇ t be improved entirely just through implementing the system such as： ERP, PDM, CAPP and so on. There is an information ga...During the time of building enterprise information System （EIS）, agility of enterprise can＇ t be improved entirely just through implementing the system such as： ERP, PDM, CAPP and so on. There is an information gap between bottom rnannfacturing equipment and the top EIS, that makes against elevating the agility of enterprise. Building Web- CNC and realizing its integration with EIS is an effect way to solve this problem. The architecture of Web- CNC, the integration of Web- CNC and EIS are detailed. Lastly, an instance is analyzed and discussed.展开更多
BACKGROUND Following the successful Perioperative Surgical Home(PSH)practice for total knee arthroplasty(TKA)at our institution,the need for continuous improvement was realized,including the deimplementation of antiqu...BACKGROUND Following the successful Perioperative Surgical Home(PSH)practice for total knee arthroplasty(TKA)at our institution,the need for continuous improvement was realized,including the deimplementation of antiquated PSH elements and introduction of new practices.AIM To investigate the transition from femoral nerve blocks(FNB)to adductor canal nerve blocks(ACB)during TKA.METHODS Our 13-month study from June 2016 to 2017 was divided into four periods:a three-month baseline(103 patients),a one-month pilot(47 patients),a three-month implementation and hardwiring period(100 patients),and a six-month evaluation period(185 patients).In total,435 subjects were reviewed.Data within 30 postoperative days were extracted from electronic medical records,such as physical therapy results and administration of oral morphine equivalents(OME).RESULTS Our institution reduced FNB application(64% to 3%)and increased ACB utilization(36% to 97%)at 10 mo.Patients in the ACB group were found to have increased ambulation on the day of surgery(4.1 vs 2.0 m)and lower incidence of falls(0 vs 1%)and buckling(5% vs 27%)compared with FNB patients(P<0.05).While ACB patients(13.9)reported lower OME than FNB patients(15.9),the difference(P=0.087)did not fall below our designated statistical threshold of P value<0.05.CONCLUSION By demonstrating closure of the“knowledge to action gap”within 6 mo,our institution’s findings demonstrate evidence in the value of implementation science.Physician education,technical support,and performance monitoring were deemed key facilitators of our program’s success.Expanded patient populations and additional orthopedic procedures are recommended for future study.展开更多
Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which co...Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which contains unsufficient information.To solve this problem,a robust optimization operation method based on information gap decision theory(IGDT) is presented considering the non-probabilistic uncertainties of parameters.By the proposed method the maximum resistance to the disturbance of uncertain parameters is achieved and the optimization strategies with uncertain parameters are presented.Finally,numerical simulation is performed on the modified IEEE-14 bus system.Numerical results show the effectiveness of the proposed approach.展开更多
Fossil fuel depletion and environmental pollution problems promote development of renewable energy(RE)glob-ally.With increasing penetration of RE,operation security and economy of power systems(PS)are greatly impacted...Fossil fuel depletion and environmental pollution problems promote development of renewable energy(RE)glob-ally.With increasing penetration of RE,operation security and economy of power systems(PS)are greatly impacted by fluctuation and intermittence of renewable power.In this paper,information gap decision theory(IGDT)is adapted to handle uncertainty of wind power generation.Based on conventional IGDT method,linear regulation strategy(LRS)and robust linear optimization(RLO)method are integrated to reformulate the model for rigorously considering security constraints.Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS.Moreover,a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming(MILP)problem for convenient optimization without robustness loss.Finally,results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.Index Terms-Hybrid RLO-IGDT approach,information gap decision theory(IGDT),operation security,robustness assessment,robustness security region(RSR).展开更多
基金supported by the National Natural Science Foundation of China(No.U1866207)。
文摘The load demand and distributed generation(DG)integration capacity in distribution networks(DNs)increase constantly,and it means that the violation of security constraints may occur in the future.This can be further worsened by short-term power fluctuations.In this paper,a scheduling method based on a multi-objective chance-constrained information-gap decision(IGD)model is proposed to obtain the active management schemes for distribution system operators(DSOs)to address these problems.The maximum robust adaptability of multiple uncertainties,including the deviations of growth prediction and their relevant power fluctuations,can be obtained based on the limited budget of active management.The systematic solution of the proposed model is developed.The max term constraint in the IGD model is converted into a group of normal constraints corresponding to extreme points of the max term.Considering the stochastic characteristics and correlations of power fluctuations,the original model is equivalently reformulated by using the properties of multivariate Gaussian distribution.The effectiveness of the proposed model is verified by a modified IEEE 33-bus distribution network.The simulation result delineates a robust accommodation space to represent the adaptability of multiple uncertainties,which corresponds to an optional active management strategy set for future selection.
文摘During the time of building enterprise information System （EIS）, agility of enterprise can＇ t be improved entirely just through implementing the system such as： ERP, PDM, CAPP and so on. There is an information gap between bottom rnannfacturing equipment and the top EIS, that makes against elevating the agility of enterprise. Building Web- CNC and realizing its integration with EIS is an effect way to solve this problem. The architecture of Web- CNC, the integration of Web- CNC and EIS are detailed. Lastly, an instance is analyzed and discussed.
文摘BACKGROUND Following the successful Perioperative Surgical Home(PSH)practice for total knee arthroplasty(TKA)at our institution,the need for continuous improvement was realized,including the deimplementation of antiquated PSH elements and introduction of new practices.AIM To investigate the transition from femoral nerve blocks(FNB)to adductor canal nerve blocks(ACB)during TKA.METHODS Our 13-month study from June 2016 to 2017 was divided into four periods:a three-month baseline(103 patients),a one-month pilot(47 patients),a three-month implementation and hardwiring period(100 patients),and a six-month evaluation period(185 patients).In total,435 subjects were reviewed.Data within 30 postoperative days were extracted from electronic medical records,such as physical therapy results and administration of oral morphine equivalents(OME).RESULTS Our institution reduced FNB application(64% to 3%)and increased ACB utilization(36% to 97%)at 10 mo.Patients in the ACB group were found to have increased ambulation on the day of surgery(4.1 vs 2.0 m)and lower incidence of falls(0 vs 1%)and buckling(5% vs 27%)compared with FNB patients(P<0.05).While ACB patients(13.9)reported lower OME than FNB patients(15.9),the difference(P=0.087)did not fall below our designated statistical threshold of P value<0.05.CONCLUSION By demonstrating closure of the“knowledge to action gap”within 6 mo,our institution’s findings demonstrate evidence in the value of implementation science.Physician education,technical support,and performance monitoring were deemed key facilitators of our program’s success.Expanded patient populations and additional orthopedic procedures are recommended for future study.
基金National Natural Science Foundation of China(No.61533010)Science and Technology Commission of Shanghai Municipality,China(No.14ZR1415300)
文摘Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which contains unsufficient information.To solve this problem,a robust optimization operation method based on information gap decision theory(IGDT) is presented considering the non-probabilistic uncertainties of parameters.By the proposed method the maximum resistance to the disturbance of uncertain parameters is achieved and the optimization strategies with uncertain parameters are presented.Finally,numerical simulation is performed on the modified IEEE-14 bus system.Numerical results show the effectiveness of the proposed approach.
基金supported by the National Key R&D Program of China(No.2022YFB2404000).
文摘Fossil fuel depletion and environmental pollution problems promote development of renewable energy(RE)glob-ally.With increasing penetration of RE,operation security and economy of power systems(PS)are greatly impacted by fluctuation and intermittence of renewable power.In this paper,information gap decision theory(IGDT)is adapted to handle uncertainty of wind power generation.Based on conventional IGDT method,linear regulation strategy(LRS)and robust linear optimization(RLO)method are integrated to reformulate the model for rigorously considering security constraints.Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS.Moreover,a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming(MILP)problem for convenient optimization without robustness loss.Finally,results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.Index Terms-Hybrid RLO-IGDT approach,information gap decision theory(IGDT),operation security,robustness assessment,robustness security region(RSR).
