Optimal Operation And Energy Management Of Photovoltaic-Storage-Hydrogen Integrated Energy System

Under the carbon peaking and carbon neutrality goals,China is actively building a clean,low-carbon,safe and high-efficient energy system and a new power system with new energy as the main body.Thus,the structure of energy production and consumption will be further optimized towards clean energy represented by hydrogen energy and solar energy.This thesis aiming at optimal operation and energy management of a photovoltaic-storage-hydrogen integrated energy supply system focuses on four core issues the efficiency of photovoltaic(PV)power generation,power cooperative control of PV hydrogen generation system,energy management of electricity-hydrogen integrated microgrid and hydrogen-based regional energy supply system.The main contributions are briefly summarized as follows:(1)Aiming at the power loss problem of the photovoltaic system under mismatched conditions,the dynamic reconfiguration method of typical structure(SP-based)PV array,PV string PV dynamic reconfiguration method and current injection-based reconfiguration method were proposed.The proposed methods are scalable and can be applied to PV arrays of any size.By using a limited number of electrical switches,combined with a reconfiguration optimization algorithm,dynamic reconfiguration of PV arrays can be achieved to reduce mismatch losses.(2)Aiming at the power control problem of the PV hydrogen production system,a collaborative power control method of PV hydrogen production system combined with PV array dynamic reconfiguration was proposed.This power cooperative control method uses battery energy storage to provide the power required by PV dynamic reconfiguration and supplies power to the electrolyzer with the PV system.The supercapacitor device is used to compensate for the unbalanced power caused by the slow dynamic response of battery energy storage and electrolyzer,thus improving the adaptability of the electrolyzer and battery energy storage to the power fluctuations of PV power generation and the operation efficiency of the system.(3)Aiming at the energy optimization management problem of a hydrogenelectric integrated microgrid system,a two-stage energy management method based on model predictive control is proposed,which can minimize the daily operation cost through the coordination of day-ahead scheduling and intraday dispatching,to realize the economical and efficient operation of the microgrid system;Furthermore,a multi-time scale energy optimization management method for the hydrogen-electric-heat integrated microgrid system is proposed.Considering the electrical and hydrogen interconnection among subsystems in the microgrid system.the multi-time scale efficient operation capability of the hydrogen-electric-heat integrated microgrid system is improved through the coordination of electricity,hydrogen and heat.(4)Aiming at the energy optimization management of a hydrogen-electricityheat integrated regional energy system with the participation of the electricity and hydrogen market,a multi-stage and multi-time scale energy optimization control algorithm are proposed considering the power flow of the distribution network and the participation of electricity market and hydrogen market.The algorithm consists of the day-ahead scheduling stage,intraday rolling dispatch stage and intraday real-time adjustment stage,which can solve the dispatching time scale inconsistency problem for multi-energy,reduce the computational complexity of electrical scheduling,improve the efficiency of energy management,realize the economic coordination of hydrogen-electric-heat in the system,and provide theoretical reference for the flexible and efficient intelligent management of the energy supply system.