Research On Multi-Dimensional Cooperative Algorithm For Echelon Energy Storage System Of Photovoltaic Microgrid

With the consumption of fossil energy,such as oil and coal,and the environmental problems such as haze,photovoltaic power generation,as an important alternative energy,has been paid more and more attention in the world.The number of new energy vehicles in China will reach 5 million by 2020.All aspects of the performance of the power battery will be decommissioned with the decline of the vehicle operation,and the disposal of the decommissioned power battery will also be faced with problems.At that time,the disposal of decommissioned power cells will become a problem.Photovoltaic also has some important disadvantages,such as instability and intermittency,which seriously affect the absorption of photovoltaic power generation.Reorganizing the decommissioned battery of electric vehicle into energy storage system in photovoltaic microgrid can effectively improve the stability of photovoltaic microgrid and promote the absorption of photovoltaic power generation.At the same time,the problem of recycling and utilization of decommissioned power cell can be solved.The parameter SOC estimation of decommissioned power battery is not accurate.The energy imbalance in series charging and discharging process makes it difficult to second use the decommissioned power battery.In this paper,the SOC is estimated by using Kalman filter method with parameter real time identification method.The bidirectional DC/DC converter is used to manage the charging and discharging equalization of the battery.And then the bi-directional DC/DC converter in series is considered as an intelligent module,which is controlled by swarm consensus algorithm with distributed characteristics.The output state of the energy storage converter module is consistent.Finally,the feasibility of the decommissioned power battery application in microgrid and the proposed control algorithm is verified by Matlab/Simulink.