An integrated energy system(IES)contributes to improving energy efficiency and promoting sustainable energy development.For different dynamic characteristics of the system,such as demand/response schemes and complex c...An integrated energy system(IES)contributes to improving energy efficiency and promoting sustainable energy development.For different dynamic characteristics of the system,such as demand/response schemes and complex coupling characteristics among energy sources,siting and sizing of multitype energy storage(MES)are very important for the economic operation of the IES.Considering the effect of the diversity of the IES on system reserve based on electricity,gas and heat systems in different scenarios,a two-stage MES optimal configuration model,considering the system reserve value,is proposed.In the first stage,to determine the location and charging/discharging strategies,a location choice model that minimizes the operating cost,considering the system reserve value,is proposed.In the second stage,a capacity choice model,to minimize the investment and maintenance cost of the MES,is proposed.Finally,an example is provided to verify the effectiveness of the MES configuration method in this paper in handling operational diversity and ensuring system reserve.Compared with the configuration method that disregards the system reserve value,the results show that the MES configuration method proposed in this paper can reduce the annual investment cost and operating cost and improve the system reserve value.展开更多
In integrated energy systems(IESs),traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network,demand response characteristics,dispatching time scal...In integrated energy systems(IESs),traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network,demand response characteristics,dispatching time scales in energy subsystems and renewable power uncertainties.This scheme may easily result in uneconomic source-grid-load-storage operations in IES.In this paper,we propose a dispatching method for IES based on dynamic time-interval of model predictive control(MPC).We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat IES.Then,we develop an innovative optimization method leveraging trajectory deviation control,energy control,and cost control frameworks in MPC to handle the requirements and constraints over the timeinterval of dispatching.Finally,a dynamic programming algorithm is introduced to efficiently solve the proposed method.Experiments and simulation results prove the effectiveness of the method.展开更多
基金supported in part by the National Key R&D Program of China(No.2018YFB0905000)the Science and Technology Project of the State Grid Corporation of China(No.SGTJDK00DWJS1800232).
文摘An integrated energy system(IES)contributes to improving energy efficiency and promoting sustainable energy development.For different dynamic characteristics of the system,such as demand/response schemes and complex coupling characteristics among energy sources,siting and sizing of multitype energy storage(MES)are very important for the economic operation of the IES.Considering the effect of the diversity of the IES on system reserve based on electricity,gas and heat systems in different scenarios,a two-stage MES optimal configuration model,considering the system reserve value,is proposed.In the first stage,to determine the location and charging/discharging strategies,a location choice model that minimizes the operating cost,considering the system reserve value,is proposed.In the second stage,a capacity choice model,to minimize the investment and maintenance cost of the MES,is proposed.Finally,an example is provided to verify the effectiveness of the MES configuration method in this paper in handling operational diversity and ensuring system reserve.Compared with the configuration method that disregards the system reserve value,the results show that the MES configuration method proposed in this paper can reduce the annual investment cost and operating cost and improve the system reserve value.
基金supported in part by National Key R&D Program of China(No.2018YFB0905000)National Natural Science Foundation of China(No.61873121)Science and Technology Project of State Grid Corporation of China(No.SGTJDK00DWJS1800232)
文摘In integrated energy systems(IESs),traditional fixed time-interval dispatching scheme is unable to adapt to the need of dynamic properties of the transient network,demand response characteristics,dispatching time scales in energy subsystems and renewable power uncertainties.This scheme may easily result in uneconomic source-grid-load-storage operations in IES.In this paper,we propose a dispatching method for IES based on dynamic time-interval of model predictive control(MPC).We firstly build models for energy sub-systems and multi-energy loads in the power-gas-heat IES.Then,we develop an innovative optimization method leveraging trajectory deviation control,energy control,and cost control frameworks in MPC to handle the requirements and constraints over the timeinterval of dispatching.Finally,a dynamic programming algorithm is introduced to efficiently solve the proposed method.Experiments and simulation results prove the effectiveness of the method.
