With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical issue.Some studies try to alleviate peak load by incre...With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical issue.Some studies try to alleviate peak load by increasing power generation on the supply side.Due to the short duration of peak load,this may cause redundant installation capacity.Alternatively,others attempt to shave peak demand by installing energy storage facilities.However,the aforementioned research did not consider interruptible load regulation when optimizing system operations.In fact,regulating interruptible load has great potential for reducing system peak load.In this paper,an interruptible load scheduling model considering the user subsidy rate is first proposed to reduce system peak load and operational costs.This model has fully addressed the constraints of minimum daily load reduction and user interruption load time.After that,by taking a community in Shanghai as an example,the improved chicken swarm optimization algorithm is applied to solve the interruptible load scheduling scheme.Finally,the simulation results validate the efficacy of the proposed optimization algorithm and indicate the significant advantages of the proposed model in alleviating the peak load and reducing operational costs.展开更多
National essential medicine policy （NEMP） is an important part of new health care reform and core content of national drug policy. We chose Hebei province as a case to study, utilized standard methods from WHO/HAl a...National essential medicine policy （NEMP） is an important part of new health care reform and core content of national drug policy. We chose Hebei province as a case to study, utilized standard methods from WHO/HAl and built interrupted time series （ITS） model to qualitatively and quantitatively evaluate the effects of NEMP in Hebei province from the utilization of essential medicines. Shortly after implementing EMP, the purchasing and utilization rate of essential medicines significantly increased, but no further continuous effects. In order to perfect the essential medicine policy, training of rational drug utilization should be strengthened, hierarchical essential medicine list and dynamic monitoring on the effect of NEMP are necessary.展开更多
文摘With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical issue.Some studies try to alleviate peak load by increasing power generation on the supply side.Due to the short duration of peak load,this may cause redundant installation capacity.Alternatively,others attempt to shave peak demand by installing energy storage facilities.However,the aforementioned research did not consider interruptible load regulation when optimizing system operations.In fact,regulating interruptible load has great potential for reducing system peak load.In this paper,an interruptible load scheduling model considering the user subsidy rate is first proposed to reduce system peak load and operational costs.This model has fully addressed the constraints of minimum daily load reduction and user interruption load time.After that,by taking a community in Shanghai as an example,the improved chicken swarm optimization algorithm is applied to solve the interruptible load scheduling scheme.Finally,the simulation results validate the efficacy of the proposed optimization algorithm and indicate the significant advantages of the proposed model in alleviating the peak load and reducing operational costs.
文摘National essential medicine policy （NEMP） is an important part of new health care reform and core content of national drug policy. We chose Hebei province as a case to study, utilized standard methods from WHO/HAl and built interrupted time series （ITS） model to qualitatively and quantitatively evaluate the effects of NEMP in Hebei province from the utilization of essential medicines. Shortly after implementing EMP, the purchasing and utilization rate of essential medicines significantly increased, but no further continuous effects. In order to perfect the essential medicine policy, training of rational drug utilization should be strengthened, hierarchical essential medicine list and dynamic monitoring on the effect of NEMP are necessary.
