An optimization model is established for a multi-product pipeline which has a known delivery demand and operation plan for each off-take station.The aim of this optimization model is to minimize the total pumping oper...An optimization model is established for a multi-product pipeline which has a known delivery demand and operation plan for each off-take station.The aim of this optimization model is to minimize the total pumping operation cost,considering not only factors including the energy equilibrium constraint,the maximum and minimum suction and discharge pressures constraints of pump stations,and pressure constraint at special elevation points,but also the regional differences in electricity prices along the pipeline.The dynamic programming method is applied to solve the model and to find the optimal pump configuration.展开更多
随着电动汽车(electric vehicle,EV)普及度的不断提高,工业园区内的EV用户日益增多,其充放电行为给园区综合能源系统(park integrated energy system,PIES)的规划运行带来极大挑战。文中提出考虑EV充放电意愿的PIES双层优化调度。首先,...随着电动汽车(electric vehicle,EV)普及度的不断提高,工业园区内的EV用户日益增多,其充放电行为给园区综合能源系统(park integrated energy system,PIES)的规划运行带来极大挑战。文中提出考虑EV充放电意愿的PIES双层优化调度。首先,基于动态实时电价、电池荷电量、电池损耗补偿、额外参与激励等因素建立充放电意愿模型,在此基础上得到改进的EV充放电模型;然后,以PIES总成本最小和EV充电费用最小为目标建立双层优化调度模型,通过Karush-Kuhn-Tucker(KKT)条件将内层模型转化为外层模型的约束条件,从而快速稳定地实现单层模型的求解;最后,进行仿真求解,设置3种不同场景,对比所提模型与一般充放电意愿模型,验证了文中所提引入EV充放电意愿模型的PIES双层优化调度的有效性和可行性。展开更多
This paper investigates an optimal day-ahead dynamic pricing problem in an electricity market with one electricity retailer and multiple customers. The main objective of this paper is to support the retailer to make t...This paper investigates an optimal day-ahead dynamic pricing problem in an electricity market with one electricity retailer and multiple customers. The main objective of this paper is to support the retailer to make the best day-ahead dynamic pricing decision, which maximizes its profit under the realistic assumption that mixed types of customers coexist in the electricity market where some customers have installed smart meters with the embedded home energy management system in their home whereas other customers have not installed smart meters. To this end, we propose a hybrid demand modelling framework which firstly uses an optimal energy management algorithm with bill minimization to model the behavior of customers with smart meters and secondly use a data-driven demand modelling method to model the behavior of customers without smart meters. Such a hybrid demand model can not only schedule usages of home appliances to the interests of customers with smart meters but also be used to understand electricity usage behaviors of customers without smart meters. Based on the established hybrid demand model for all customers, a profit maximization algorithm is developed to achieve optimal prices for the retailer under relevant market constraints. Under the condition of no growth of the revenue(i.e. no increase of total bill from all customers), simulation results indicate our optimization algorithm can improve the profit for around 5% on average.展开更多
We study a dynamic pricing problem of a firm facing stochastic reference price effect.Randomness is incorporated in the formation of reference prices to capture either consumers’heterogeneity or exogenous factors tha...We study a dynamic pricing problem of a firm facing stochastic reference price effect.Randomness is incorporated in the formation of reference prices to capture either consumers’heterogeneity or exogenous factors that affect consumers’memory processes.We apply the stochastic optimal control theory to the problem and derive an explicit expression for the optimal pricing strategy.The explicit expression allows us to obtain the distribution of the steady-state reference price.We compare the expected steadystate reference price to the steady-state reference price in a model with deterministic reference price effect,and we find that the former one is always higher.Our numerical study shows that the two steady-state reference prices can have opposite sensitivity to the problem parameters and the relative difference between the two can be very significant.展开更多
Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart techno...Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic.Although there is increased attention on smart parking research and parking reservation optimization,a scoping review is currently lacking.Therefore,the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations.Out of the original 438 publications identified in this search,99 were eventually chosen for analysis.The review categorized parking reservations into four research topics:inventory control,allocation decisions,pricing strategies,and performance evaluation.The elements considered in these research themes,modeling techniques,and evaluation criteria are explored in detail.In addition,the challenges and further enhancements of parking reservation optimization are discussed.It is believed that the findings from this study will be beneficial in further research on parking reservations.展开更多
This paper proposes a procurement and production outsourcing model subject to a dynamic prices environment. Using the optimal control theory we obtain the necessary conditions of the optimal procurement and production...This paper proposes a procurement and production outsourcing model subject to a dynamic prices environment. Using the optimal control theory we obtain the necessary conditions of the optimal procurement and production policy. From the study of optimal control conditions, we derive qualitative properties of the optimal procurement and production decisions for a few exemplifying cases. Through these results we are able to provide some managerial implications for managers to make real decisions.展开更多
文摘An optimization model is established for a multi-product pipeline which has a known delivery demand and operation plan for each off-take station.The aim of this optimization model is to minimize the total pumping operation cost,considering not only factors including the energy equilibrium constraint,the maximum and minimum suction and discharge pressures constraints of pump stations,and pressure constraint at special elevation points,but also the regional differences in electricity prices along the pipeline.The dynamic programming method is applied to solve the model and to find the optimal pump configuration.
文摘随着电动汽车(electric vehicle,EV)普及度的不断提高,工业园区内的EV用户日益增多,其充放电行为给园区综合能源系统(park integrated energy system,PIES)的规划运行带来极大挑战。文中提出考虑EV充放电意愿的PIES双层优化调度。首先,基于动态实时电价、电池荷电量、电池损耗补偿、额外参与激励等因素建立充放电意愿模型,在此基础上得到改进的EV充放电模型;然后,以PIES总成本最小和EV充电费用最小为目标建立双层优化调度模型,通过Karush-Kuhn-Tucker(KKT)条件将内层模型转化为外层模型的约束条件,从而快速稳定地实现单层模型的求解;最后,进行仿真求解,设置3种不同场景,对比所提模型与一般充放电意愿模型,验证了文中所提引入EV充放电意愿模型的PIES双层优化调度的有效性和可行性。
文摘This paper investigates an optimal day-ahead dynamic pricing problem in an electricity market with one electricity retailer and multiple customers. The main objective of this paper is to support the retailer to make the best day-ahead dynamic pricing decision, which maximizes its profit under the realistic assumption that mixed types of customers coexist in the electricity market where some customers have installed smart meters with the embedded home energy management system in their home whereas other customers have not installed smart meters. To this end, we propose a hybrid demand modelling framework which firstly uses an optimal energy management algorithm with bill minimization to model the behavior of customers with smart meters and secondly use a data-driven demand modelling method to model the behavior of customers without smart meters. Such a hybrid demand model can not only schedule usages of home appliances to the interests of customers with smart meters but also be used to understand electricity usage behaviors of customers without smart meters. Based on the established hybrid demand model for all customers, a profit maximization algorithm is developed to achieve optimal prices for the retailer under relevant market constraints. Under the condition of no growth of the revenue(i.e. no increase of total bill from all customers), simulation results indicate our optimization algorithm can improve the profit for around 5% on average.
基金This research is partly supported by the National Science Foundation(Nos.CMMI-1030923,CMMI-1363261,CMMI-1538451 and CMMI-1635160)the National Natural Science Foundation of China(Nos.71228203,71201066 and 71520107001)research Grant of National University of Singapore(Project R-314-000-105-133).
文摘We study a dynamic pricing problem of a firm facing stochastic reference price effect.Randomness is incorporated in the formation of reference prices to capture either consumers’heterogeneity or exogenous factors that affect consumers’memory processes.We apply the stochastic optimal control theory to the problem and derive an explicit expression for the optimal pricing strategy.The explicit expression allows us to obtain the distribution of the steady-state reference price.We compare the expected steadystate reference price to the steady-state reference price in a model with deterministic reference price effect,and we find that the former one is always higher.Our numerical study shows that the two steady-state reference prices can have opposite sensitivity to the problem parameters and the relative difference between the two can be very significant.
基金supported by the National Key Research and Development Program of China (2019YFB1600300)the National Natural Science Foundation of China (NSFC) (51878062)the Fundamental Research Funds for the Central Universities (300102341303)。
文摘Growing private vehicle use and a limited supply of parking resources have increased competition for parking spaces.Ineffective searching for parking spaces is a significant barrier to smooth traffic flow.Smart technology-generated parking reservations are regarded as an excellent way to increase parking efficiency and lessen traffic.Although there is increased attention on smart parking research and parking reservation optimization,a scoping review is currently lacking.Therefore,the purpose of this paper is to provide a comprehensive review of the research literature related to parking reservations.Out of the original 438 publications identified in this search,99 were eventually chosen for analysis.The review categorized parking reservations into four research topics:inventory control,allocation decisions,pricing strategies,and performance evaluation.The elements considered in these research themes,modeling techniques,and evaluation criteria are explored in detail.In addition,the challenges and further enhancements of parking reservation optimization are discussed.It is believed that the findings from this study will be beneficial in further research on parking reservations.
基金Supported by National Natural Science Foundation of China (No. 70871044, 71171153, 71171152)Humanities and Social Sciences Research Project of Chinese Ministry of Education for Youth (No. 11YJC630011)+2 种基金China Postdoctoral Science Foundation(No.2012M511215)Humanities and Social Sciences Research Project of Hubei Province Office of Education (No. 2010q054)Science and Technology Research Project of Hubei Province Office of Education (No. B20111603)
文摘This paper proposes a procurement and production outsourcing model subject to a dynamic prices environment. Using the optimal control theory we obtain the necessary conditions of the optimal procurement and production policy. From the study of optimal control conditions, we derive qualitative properties of the optimal procurement and production decisions for a few exemplifying cases. Through these results we are able to provide some managerial implications for managers to make real decisions.
