Aiming at the problems of high wind power grid-connection volatility
poor power quality and poor electricity-hydrogen hybrid energy storage capacity allocation
a study on the optimal allocation of electricity-hydrogen hybrid energy storage capacity under wind power smoothing is proposed. Under the typical scenario of wind power
firstly
a variational modal decomposition based on whale algorithm optimization is used to process the wind signal
and combined with the limit value of wind power grid fluctuation
the direct grid connection component and the energy storage to be suppressed component are obtained. Secondly
an energy management strategy based on the actual operating characteristics of alkaline electrolyzers and the actual operating state of electrochemical storage is formulated with full consideration of the characteristics and constraints of hydrogen and electrochemical storage. Based on this strategy
the hybrid electricity-hydrogen storage capacity allocation model is established with the goal of minimizing the annual comprehensive cost of the system while absorbing the energy storage to be levelled off component and solved by the CPLEX solver. The simulation results show that the proposed strategy not only improves the utilization rate of hydrogen storage but also keeps the electrochemical storage in the safe operating range; and that
the capacity allocation scheme under the strategy can achieve better suppression of wind power while meeting the system economics.
ZHANG Y, XU Y J, GUO H, et al.A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations[J]. Renewable energy, 2018, 125: 121-132.
DASH V, BAJPAI P.Power management control strategy for a stand-alone solar photovoltaic-fuel cell-battery hybrid system[J]. Sustainable energy technologies and assessments, 2015, 9: 68-80.
College of Energy and Mechanical Engineering, Shanghai University of Electric Power
School of Mechanical and Power Engineering, Jiangsu Organic Solid Waste Deep Disposal and Hydrogen Production Engineering Research Center,Jiangsu Key Laboratory of Process Enhancement and New Energy Equipment Technology, Nanjing Tech University
School of Mechanical Engineering, Xi’an Jiaotong University
School of Mechanical Engineering, Xinjiang University
Northwest Electric Power Design Institute Co., Ltd. of China Power Engineering Consultion Group