A chance-constrained energy dispatch model based on the distributed stochastic model predictive control(DSMPC)approach for an islanded multi-microgrid system is proposed.An ambiguity set considering the inherent uncer...A chance-constrained energy dispatch model based on the distributed stochastic model predictive control(DSMPC)approach for an islanded multi-microgrid system is proposed.An ambiguity set considering the inherent uncertainties of renewable energy sources(RESs)is constructed without requiring the full distribution knowledge of the uncertainties.The power balance chance constraint is reformulated within the framework of the distributionally robust optimization(DRO)approach.With the exchange of information and energy flow,each microgrid can achieve its local supply-demand balance.Furthermore,the closed-loop stability and recursive feasibility of the proposed algorithm are proved.The comparative results with other DSMPC methods show that a trade-off between robustness and economy can be achieved.展开更多
Many existing battery energy storage system (BESS) control schemes focus on mitigating negative impacts resulting from the operation of distributed energy resources-photovoltaic facilities (DER-PV). These include out-...Many existing battery energy storage system (BESS) control schemes focus on mitigating negative impacts resulting from the operation of distributed energy resources-photovoltaic facilities (DER-PV). These include out-of-firm conditions from reverse power flow or extreme variability in the service voltage. Existing control strategies fail to consider how BESS control schemes need to operate in a consecutive day-to-day basis in order for them to be implemented in the field. In this paper, a novel energy management algorithm capable of dispatching a BESS unit upstream of a multi-megawatt DER-PV is introduced. This algorithm referenced as the Master Energy Coordinator (MEC), accepts forecasted DER-PV generation and individual feeder load to create daily charge and discharge rate schedules. Logic is integrated to the cyclic discharging event to sync with the forecasted peak load, even when it will occur during the morning of the next day. To verify the MEC operation, Quasi-Static Time Series (QSTS) simulations are conducted on a 12.47 kV distribution feeder model utilizing historical head-of-feeder and DER-PV analog DSCADA measurements.展开更多
Proton exchange membrane(PEM)electrolyzer(EL)is regarded as a promising technology for hydrogen generation,offering load flexibility for electric grids(EGs),especially those with a high penetration of renewable energy...Proton exchange membrane(PEM)electrolyzer(EL)is regarded as a promising technology for hydrogen generation,offering load flexibility for electric grids(EGs),especially those with a high penetration of renewable energy(RE)sources.This paper proposes a PEM-focused economic dispatch strategy for EG integrated with wind-electrolysis systems.Existing strategies commonly assume a constant efficiency coefficient to model the EL,while the proposed strategy incorporates a bottom-up PEM EL model characterized by a part-load efficiency curve,which accurately represents the nonlinear hydrogen production performance,capturing efficiency variations at different loads.To model this,it first establishes a 0D electrochemical model to derive the polarization curve.Next,it accounts for the hydrogen and oxygen crossover phenomena,represented by the Faraday efficiency,to correct the stack efficiency curve.Finally,it includes the power consumption of ancillary equipment to obtain the nonlinear part-load system efficiency.This strategy is validated using the PJM-5 bus test system with coal-fired generators(CFGs)and is compared with a simple EL model using constant efficiency under three scenarios.The results show that the EL modeling method significantly influences both the dispatch outcome and the economic performance.Sensitivity analyses on coal and hydrogen prices indicate that,for this case study,the proposed strategy is economically advantageous when the coal price is below 121.6$/tonne.Additionally,the difference in total annual operating cost between using the efficiency curve anda constant efficiency to model becomes apparent when the hydrogen price ranges from 2.9 to 5.4$/kg.展开更多
The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for ...The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for the dispatch decisions of MES are based on the prescribed probability distribution or uncertainty sets of random variables,which have many disadvantages,such as potential infeasibility and over-conservatism.In this paper,we propose a novel dispatch model for MES that integrates dispatch decision making,uncertainty set selection,and operational cost control into a unified framework.First,the deterministic dispatch model of MES is introduced,in which the physical characteristics of district heating systems and buildings are fully considered.Then,a novel decision framework that combines the two-stage dispatch strategy and info-gap decision theory(IGDT)is proposed for MES,where the uncertainty set is flexible and can be optimized based on the operational cost budget.Finally,a revised algorithm,based on the column-and-constraint generation method,is proposed for the model.Case studies are performed on MES that includes a 33-bus distribution system and a heating network modified from a real 51-node network located in Jinlin Province,China.The results verify the effectiveness of the proposed method.展开更多
基金Supported by the National Natural Science Foundation of China(No.U24B20156)the National Defense Basic Scientific Research Program of China(No.JCKY2021204B051)the National Laboratory of Space Intelligent Control of China(Nos.HTKJ2023KL502005 and HTKJ2024KL502007)。
文摘A chance-constrained energy dispatch model based on the distributed stochastic model predictive control(DSMPC)approach for an islanded multi-microgrid system is proposed.An ambiguity set considering the inherent uncertainties of renewable energy sources(RESs)is constructed without requiring the full distribution knowledge of the uncertainties.The power balance chance constraint is reformulated within the framework of the distributionally robust optimization(DRO)approach.With the exchange of information and energy flow,each microgrid can achieve its local supply-demand balance.Furthermore,the closed-loop stability and recursive feasibility of the proposed algorithm are proved.The comparative results with other DSMPC methods show that a trade-off between robustness and economy can be achieved.
文摘Many existing battery energy storage system (BESS) control schemes focus on mitigating negative impacts resulting from the operation of distributed energy resources-photovoltaic facilities (DER-PV). These include out-of-firm conditions from reverse power flow or extreme variability in the service voltage. Existing control strategies fail to consider how BESS control schemes need to operate in a consecutive day-to-day basis in order for them to be implemented in the field. In this paper, a novel energy management algorithm capable of dispatching a BESS unit upstream of a multi-megawatt DER-PV is introduced. This algorithm referenced as the Master Energy Coordinator (MEC), accepts forecasted DER-PV generation and individual feeder load to create daily charge and discharge rate schedules. Logic is integrated to the cyclic discharging event to sync with the forecasted peak load, even when it will occur during the morning of the next day. To verify the MEC operation, Quasi-Static Time Series (QSTS) simulations are conducted on a 12.47 kV distribution feeder model utilizing historical head-of-feeder and DER-PV analog DSCADA measurements.
基金supported by National Key R&D Program of China(Grant No.2021YFE0191200)which has received funding from Ministry of Science and Technology of the People’s Republic of China.
文摘Proton exchange membrane(PEM)electrolyzer(EL)is regarded as a promising technology for hydrogen generation,offering load flexibility for electric grids(EGs),especially those with a high penetration of renewable energy(RE)sources.This paper proposes a PEM-focused economic dispatch strategy for EG integrated with wind-electrolysis systems.Existing strategies commonly assume a constant efficiency coefficient to model the EL,while the proposed strategy incorporates a bottom-up PEM EL model characterized by a part-load efficiency curve,which accurately represents the nonlinear hydrogen production performance,capturing efficiency variations at different loads.To model this,it first establishes a 0D electrochemical model to derive the polarization curve.Next,it accounts for the hydrogen and oxygen crossover phenomena,represented by the Faraday efficiency,to correct the stack efficiency curve.Finally,it includes the power consumption of ancillary equipment to obtain the nonlinear part-load system efficiency.This strategy is validated using the PJM-5 bus test system with coal-fired generators(CFGs)and is compared with a simple EL model using constant efficiency under three scenarios.The results show that the EL modeling method significantly influences both the dispatch outcome and the economic performance.Sensitivity analyses on coal and hydrogen prices indicate that,for this case study,the proposed strategy is economically advantageous when the coal price is below 121.6$/tonne.Additionally,the difference in total annual operating cost between using the efficiency curve anda constant efficiency to model becomes apparent when the hydrogen price ranges from 2.9 to 5.4$/kg.
基金the National Science Foundation of China(52207080)in part by the State Grid Jiangsu Electric Power Company Science and Technology Project(J2020001)in part by the National Science Foundation of Jiangsu Province(BK20200404).
文摘The operational stability and economy of multi-energy systems(MES)are threatened by various uncertainties,such as variable renewable energy power,energy demands,and weather conditions.Most of the existing methods for the dispatch decisions of MES are based on the prescribed probability distribution or uncertainty sets of random variables,which have many disadvantages,such as potential infeasibility and over-conservatism.In this paper,we propose a novel dispatch model for MES that integrates dispatch decision making,uncertainty set selection,and operational cost control into a unified framework.First,the deterministic dispatch model of MES is introduced,in which the physical characteristics of district heating systems and buildings are fully considered.Then,a novel decision framework that combines the two-stage dispatch strategy and info-gap decision theory(IGDT)is proposed for MES,where the uncertainty set is flexible and can be optimized based on the operational cost budget.Finally,a revised algorithm,based on the column-and-constraint generation method,is proposed for the model.Case studies are performed on MES that includes a 33-bus distribution system and a heating network modified from a real 51-node network located in Jinlin Province,China.The results verify the effectiveness of the proposed method.
