Analysis, Modeling and Control of a Hybrid Drive Wind Turbine With Hydrogen Energy Storage System

Yin, Wenliang; Liu, Lin; Rui, Xiaoming

doi:10.1109/access.2020.3003798

Cited by 22 publications

(7 citation statements)

References 27 publications

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“…Step 2 : For integeri 1 ∈ (0, (12). If D = 6|7 , multiply private FCEVs' demand by 70%, taxis' demand by 120%.…”

Section: Discussionmentioning

confidence: 99%

“…Fuel quantity for FCEVs depends on their fuel tank volumes. The refueling rate is related to the minimum amount of residual hydrogen acceptable to an FCEV [12].…”

Section: Research Backgroundmentioning

confidence: 99%

“…Ref. [12] analyzes the modeling and control of a hybrid-drive wind turbine with hydrogen energy storage and studies the regulation function of hydrogen in a wind power generation system. Ref.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production

Sun

Peng

et al. 2022

Energies

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Hydrogen refueling stations (HRSs) are critical for the popularity of hydrogen vehicles (fuel cell electric vehicles—FCEVs). However, due to high installation investment and operating costs, the proliferation of HRSs is difficult. This paper studies HRSs with on-site electrolytic production and hydrogen storage devices and proposes an optimization method to minimize the total costs including both installation investment and operating costs (OPT-ISL method). Moreover, to acquire the optimization constraints of hydrogen demand, this paper creatively develops a refueling behavior simulation method for different kinds of FCEVs and proposes a hydrogen-demand estimation model to forecast the demand with hourly intervals for HRS. The Jensen–Shannon divergence is applied to verify the accuracy of the hydrogen-demand estimation. The result: 0.029 is much smaller than that of the estimation method in reference. Based on the estimation results and peak-valley prices of electricity from the grid, a daily hydrogen generation plan is obtained, as well as the optimal capacities of electrolyzers and storage devices. As for the whole costs, compared with previous configuration methods that only consider investment costs or operating costs, the proposed OPT-ISL method has the least, 8.1 and 10.5% less, respectively. Moreover, the proposed OPT-ISL method shortens the break-even time for HRS from 11.1 years to 7.8 years, a decrease of 29.7%, so that the HRS could recover its costs in less time.

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“…Step 2 : For integeri 1 ∈ (0, (12). If D = 6|7 , multiply private FCEVs' demand by 70%, taxis' demand by 120%.…”

Section: Discussionmentioning

confidence: 99%

“…Fuel quantity for FCEVs depends on their fuel tank volumes. The refueling rate is related to the minimum amount of residual hydrogen acceptable to an FCEV [12].…”

Section: Research Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production

Sun

Peng

et al. 2022

Energies

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“…Within its working range, the output voltage of the electrolytic cell increases with the input current. Therefore, the hydrogen production flow rate (i.e., hydrogen production volume) of the electrolytic cell can be adjusted by adjusting the input current [23]- [25]. The modeling of the electrolyzer must consider the relationship between the power consumption of the stack and flow rate of hydrogen production.…”

Section: A Mathematical Modeling Of Electrolytic Cell Stack and Simul...mentioning

confidence: 99%

Modeling and Simulation of Hydrogen Energy Storage System for Power-to-gas and Gas-to-power Systems

et al. 2023

Journal of Modern Power Systems and Clean Energy

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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.Index Terms--Hydrogen energy storage system (HESS), green electricity hydrogen production, compressor, hydrogen storage tank, proton-exchange membrane fuel cell (PEMFC), wind-photovoltaic-HESS-BESS integration.

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“…For example, in order to further improve the grid-connected operation performance of wind turbines (WT) based on speed-regulated differential mechanism (SRDM). Reference [6] developed a hybrid power production device in which the hydrogen storage system (HSS) includes an electrolytic cell, hydrogen fuel cell and super capacitor are integrated into SRDM based on WT. After determining eight different working modes, a power monitoring method is proposed for the SRDM based on WT with HSS, which can realize the power flow management between energy and storage elements.…”

Section: Introductionmentioning

confidence: 99%

Second-Order Linear Active Disturbance Rejection Control and Stability Analysis of Energy Storage Grid-Connected Inverter

Yang

Zhou

et al. 2020

IEEE Access

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At present, which has gradually become a technical development trend that the energy storage grid-connected inverter system is connected to the grid to ensure the stable operation of the whole system. However, the stability of the energy storage system itself is also very important for the safe operation of the power grid. Therefore, improving the stability of grid-connected energy storage system is still the key technology of current research. Aiming at the strong coupling and low-voltage ride-through fault of grid-connected system, a second-order mathematical model of grid-connected control system is established. Based on its state space model, a linear extended state observer (LESO) for state observation and a linear state error feedback (LSEF) control law for disturbance estimation are designed. The secondorder linear active disturbance rejection control (LADRC) is introduced into the voltage loop, the stability of the second-order LADRC controller is proved by the Lyapunov stability theory, and the stability conditions are given. Finally, the simulation model of the grid-connected energy storage system is built on the MATLAB / Simulink digital platform, and the low-voltage ride-through fault is designed on the gridside. The simulation results show that the effect of the second-order LADRC control is better than that of the traditional PI control obviously, which reflects the superiority of the second-order LADRC in controlling the grid-side low-voltage ride-through fault. INDEX TERMS Energy storage grid-connected inverter system，Linear active disturbance rejection control technology，Linear extended state observer，Lyapunov stability theory，Low-voltage ridethrough

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Analysis, Modeling and Control of a Hybrid Drive Wind Turbine With Hydrogen Energy Storage System

Cited by 22 publications

References 27 publications

Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production

Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production

Modeling and Simulation of Hydrogen Energy Storage System for Power-to-gas and Gas-to-power Systems

Second-Order Linear Active Disturbance Rejection Control and Stability Analysis of Energy Storage Grid-Connected Inverter

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