Research On Energy Storage Capacity Optimization And Operation Control Strategy In Park Wind-photovoltaic-storage Power System

As electricity loads continue to grow and thermal power is restricted by pre ssure to reduce emissions,renewable energy generation is becoming increasingly important.The widespread use of wind power and photovoltaics,its intermittent and random nature poses safety concerns such as instability in the power system.Energy storage systems have a role to play in peak shaving,peak and frequency regulation and smoothing power fluctuations,and contributing to the effective use of renewable energy and friendly grid connection.This paper investigates the storage capacity optimisation and operation regulation strategy of the park’s scenic storage system,with the following main work.Firstly,the article aims to increase the consumption rate of wind and solar energy,it reveals the operating principle of the Wind-Solar power station in the park’s integrated Wind-Photovoltaic-Storage system,and establishes the corresponding control architecture for Wind-Solar power station based on this.At the same time,the statistics and analysis of the basic characteristics of the four industrial parks’ s power load in Hunan have laid the foundation for follow-up research.Secondly,based on the demand for grid-connected renewable energy power generation during the wind and photovoltaic on/off grid operation time,the basic architecture of the power converter system and the energy storage unit in the next studied.Furthermore it sets up energy storage seamless switching inverter control strategy,and guarantees Wind-Photovoltaic power station can timely and/off-grid runtime grid node energy bi-directional flow in the energy storage system,and it can support the public power grid nodes and Wi nd-Photovoltaic power generation system for reactive power.The Matlab/Simulink simulation results show that the control method not only solves the common grid‘s fluctuations problem,but also improves the transient stability in the park’s power supply and distribution system.Meanwhile,considering that the output characteristics of the Wind-Photovoltaic generation system are affected by different parameters,the BP neural network algorithm is used to predict the wind and solar power station output in a short-term.Then two mathematical models for stabilizing network power fluctuations or minimizing network power loss on the capacity of the energy storage system are set up with PSO.And through calculation examples relevant verification and analysis of the output status of the energy storage system under different optimization goals are carried out.The results of calculation examples show that the fluctuation range of the system is relatively stable when the capacity of the energy storage unit is the minimum loss of the network.Finally,the overall coordinated control strategy of the Wind-PhotovoltaicStorage integrated system and the power supply and distribution system model in the park is constructed in the Matlab/Simulink.and from this,simulation experiments are carried out through the operating conditions of the Wind-Photovoltaic-Storage integrated system in park under six different working conditions.The simulation results show that the energy coordination of the park public grid is consistent with the dynamic output matching capability of the energy s torage system,and the current harmonic distortion rate within the public grid can be well lowerd when the energy storage capacity is the minimum loss optimization result,it effectively enhances the ability of the wind and photovoltaic combined power generation s ystem to connect to the park’s public grid.