In this paper,a typical-operation-curve generation method of a hydrogen energy storage system operating under the mode of stabilizing wind power fluctuations is proposed.This method is used to optimize the power and c...In this paper,a typical-operation-curve generation method of a hydrogen energy storage system operating under the mode of stabilizing wind power fluctuations is proposed.This method is used to optimize the power and capacity configuration of the energy storage system.The time series curves of the charging and discharging powers of the hydrogen energy storage are obtained by EMD decomposition,and the curves are classified according to the similarities and differences of the characteristic parameters in different time periods.After the classification,typical charging and discharging power values of each type of curve at each moment are obtained by a cloud model,and then,typical operation curves of each type are obtained by integration.On this basis,the power and capacity of the energy storage system are optimized with the objective of economic optimization through the MATLAB CPLEX toolbox.Combined with the measured data of a wind farm with an installed capacity of 400 MW in Northeast China,the validity and rationality of the typical operation curve generation method proposed in this paper are verified.展开更多
By collecting and organizing historical data and typical model characteristics,hydrogen energy storage system(HESS)-based power-to-gas(P2G)and gas-to-power systems are developed using Simulink.The energy transfer mech...By collecting and organizing historical data and typical model characteristics,hydrogen energy storage system(HESS)-based power-to-gas(P2G)and gas-to-power systems are developed using Simulink.The energy transfer mechanisms and numerical modeling methods of the proposed systems are studied in detail.The proposed integrated HESS model covers the following system components:alkaline electrolyzer(AE),highpressure hydrogen storage tank with compressor(CM&H_(2) tank),and proton-exchange membrane fuel cell(PEMFC)stack.The unit models in the HESS are established based on typical U-I curves and equivalent circuit models,which are used to analyze the operating characteristics and charging/discharging behaviors of a typical AE,an ideal CM&H_(2) tank,and a PEMFC stack.The validities of these models are simulated and verified in the MicroGrid system,which is equipped with a wind power generation system,a photovoltaic power generation system,and an auxiliary battery energy storage system(BESS)unit.Simulation results in MATLAB/Simulink show that electrolyzer stack,fuel cell stack and system integration model can operate in different cases.By testing the simulation results of the HESS under different working conditions,the hydrogen production flow,stack voltage,state of charge(SOC)of the BESS,state of hydrogen pressure(SOHP)of the HESS,and HESS energy flow paths are analyzed.The simulation results are consistent with expectations,showing that the integrated HESS model can effectively absorb wind and photovoltaic power.As the wind and photovoltaic power generations increase,the HESS current increases,thereby increasing the amount of hydrogen production to absorb the surplus power.The results show that the HESS responds faster than the traditional BESS in the microgrid,providing a solid theoretical foundation for later wind-photovoltaic-HESS-BESS integration.展开更多
Energy storage is an effective way to address the instability of renewable energy generation modes,such as wind and solar,which are projected to play an important role in the sustainable and low-carbon society.Economi...Energy storage is an effective way to address the instability of renewable energy generation modes,such as wind and solar,which are projected to play an important role in the sustainable and low-carbon society.Economics and carbon emissions are important indicators that should be thoroughly considered for evaluating the feasibility of energy storage technologies(ESTs).In this study,we study two promising routes for large-scale renewable energy storage,electrochemical energy storage(EES)and hydrogen energy storage(HES),via technical analysis of the ESTs.The levelized cost of storage(LCOS),carbon emissions and uncertainty assessments for EESs and HESs over the life cycle are conducted with full consideration of the critical links for these routes.In order to reduce the evaluation error,we use the Monte Carlo method to derive a large number of data for estimating the economy and carbon emission level of ESTs based on the collected data.The results show that lithium ion(Li-ion)batteries show the lowest LCOS and carbon emissions,at 0.314 US$kWh-1 and 72.76 g CO_(2) e kWh^(-1),compared with other batteries for EES.Different HES routes,meaning different combinations of hydrogen production,delivery and refueling methods,show substantial differences in economics,and the lowest LCOS and carbon emissions,at 0.227 US$kWh^(-1) and 61.63 gCO_(2) e kWh^(-1),are achieved using HES routes that involve hydrogen production by alkaline electrolyzer(AE),delivery by hydrogen pipeline and corresponding refueling.The findings of this study suggest that HES and EES have comparable levels of economics and carbon emissions that should be both considered for large-scale renewable energy storage to achieve future decarbonization goals.展开更多
基金This work was supported by the National Key Research and Development Program of China(Materials and Process Basis of Electrolytic Hydrogen Production from Fluctuating Power Sources such as Photovoltaic/Wind Power,No.2021YFB4000100).
文摘In this paper,a typical-operation-curve generation method of a hydrogen energy storage system operating under the mode of stabilizing wind power fluctuations is proposed.This method is used to optimize the power and capacity configuration of the energy storage system.The time series curves of the charging and discharging powers of the hydrogen energy storage are obtained by EMD decomposition,and the curves are classified according to the similarities and differences of the characteristic parameters in different time periods.After the classification,typical charging and discharging power values of each type of curve at each moment are obtained by a cloud model,and then,typical operation curves of each type are obtained by integration.On this basis,the power and capacity of the energy storage system are optimized with the objective of economic optimization through the MATLAB CPLEX toolbox.Combined with the measured data of a wind farm with an installed capacity of 400 MW in Northeast China,the validity and rationality of the typical operation curve generation method proposed in this paper are verified.
基金supported by the State Grid Jiangxi Electric Power Co.,Ltd.(No.52182020008K)Beijing Millions of Talents Funding Project(No.2020A30).
文摘By collecting and organizing historical data and typical model characteristics,hydrogen energy storage system(HESS)-based power-to-gas(P2G)and gas-to-power systems are developed using Simulink.The energy transfer mechanisms and numerical modeling methods of the proposed systems are studied in detail.The proposed integrated HESS model covers the following system components:alkaline electrolyzer(AE),highpressure hydrogen storage tank with compressor(CM&H_(2) tank),and proton-exchange membrane fuel cell(PEMFC)stack.The unit models in the HESS are established based on typical U-I curves and equivalent circuit models,which are used to analyze the operating characteristics and charging/discharging behaviors of a typical AE,an ideal CM&H_(2) tank,and a PEMFC stack.The validities of these models are simulated and verified in the MicroGrid system,which is equipped with a wind power generation system,a photovoltaic power generation system,and an auxiliary battery energy storage system(BESS)unit.Simulation results in MATLAB/Simulink show that electrolyzer stack,fuel cell stack and system integration model can operate in different cases.By testing the simulation results of the HESS under different working conditions,the hydrogen production flow,stack voltage,state of charge(SOC)of the BESS,state of hydrogen pressure(SOHP)of the HESS,and HESS energy flow paths are analyzed.The simulation results are consistent with expectations,showing that the integrated HESS model can effectively absorb wind and photovoltaic power.As the wind and photovoltaic power generations increase,the HESS current increases,thereby increasing the amount of hydrogen production to absorb the surplus power.The results show that the HESS responds faster than the traditional BESS in the microgrid,providing a solid theoretical foundation for later wind-photovoltaic-HESS-BESS integration.
基金This research is supported by the National Natural Science Founda-tion of China(No.51921004)B.Wang thanks the funding support by Hong Kong Scholars Program(No.XJ2021033).
文摘Energy storage is an effective way to address the instability of renewable energy generation modes,such as wind and solar,which are projected to play an important role in the sustainable and low-carbon society.Economics and carbon emissions are important indicators that should be thoroughly considered for evaluating the feasibility of energy storage technologies(ESTs).In this study,we study two promising routes for large-scale renewable energy storage,electrochemical energy storage(EES)and hydrogen energy storage(HES),via technical analysis of the ESTs.The levelized cost of storage(LCOS),carbon emissions and uncertainty assessments for EESs and HESs over the life cycle are conducted with full consideration of the critical links for these routes.In order to reduce the evaluation error,we use the Monte Carlo method to derive a large number of data for estimating the economy and carbon emission level of ESTs based on the collected data.The results show that lithium ion(Li-ion)batteries show the lowest LCOS and carbon emissions,at 0.314 US$kWh-1 and 72.76 g CO_(2) e kWh^(-1),compared with other batteries for EES.Different HES routes,meaning different combinations of hydrogen production,delivery and refueling methods,show substantial differences in economics,and the lowest LCOS and carbon emissions,at 0.227 US$kWh^(-1) and 61.63 gCO_(2) e kWh^(-1),are achieved using HES routes that involve hydrogen production by alkaline electrolyzer(AE),delivery by hydrogen pipeline and corresponding refueling.The findings of this study suggest that HES and EES have comparable levels of economics and carbon emissions that should be both considered for large-scale renewable energy storage to achieve future decarbonization goals.
