Research On Regional Microgrid Optimization Scheduling Strategy Considering Large-scale Access Of Electric Vehicles

In the face of the increasingly severe energy crisis,in recent years,renewable energy has been rapidly developed,especially distributed photovoltaic power generation has been widely used in commercial areas and residential areas,forming a distributed multi-micro power grid structure of different scales.At present,the research on different microgrids has achieved rich results,but most of them focus on the stable control of a single microgrid,or consider the microgrid as a single node to consider the optimal control of the microgrid group,ignoring the different power characteristics.The complementary characteristics between the microgrids,such as the microgrid in the commercial district and the microgrid in the residential area,have obvious time-period complementary characteristics;on the other hand,with the rise of the electric vehicle industry,large-scale electric vehicles are connected to the grid,disorderly and random.The charging behavior will have a certain negative impact on the grid.If we consider the complementary characteristics of different microgrids in the region and give full play to the mobile energy storage characteristics of electric vehicles,the participation of electric vehicles in the optimal scheduling of regional microgrids will be beneficial to the effective consumption of renewable energy and the overall Optimize scheduling.This paper studied the regional microgrid optimization scheduling strategy considering the largescale access of electric vehicles based on the typical regional microgrid composed of commercial districts and residential areas,combining the electrical characteristics of different regions and the mobility characteristics of electric vehicles.The main research contents include:(1)The regional microgrid optimization scheduling strategy for reducing electricity costs is studied.For the typical microgrid composed of two sub-areas of commercial area and residential area,an optimized scheduling strategy is proposed to improve the consumption of renewable energy and reduce the electricity cost of regional micro-grid.In order to dynamically adjust the orderly charge and discharge of electric vehicle groups in each sub-area,combined with the real-time deployment of excess photovoltaic energy between different sub-areas,the electric vehicle group stores electric energy during the low-voltage period and outputs electric energy during the peak hours.To achieve renewable energy in the highest possible proportion,to achieve the overall optimal scheduling of regional microgrid.(2)The regional microgrid optimal scheduling strategy for one-way V2 G mitigation of photovoltaic fluctuations is studied.In view of the unstable and fragile characteristics of photovoltaic power generation,a one-way V2 G response in the residential area and the commercial area was added to stabilize the stability of the micro-grid due to fluctuations caused by photovoltaic power generation.(3)The regional microgrid optimal scheduling strategy for two-way V2 G to suppress PV fluctuations is studied.In view of the large fluctuation range of photovoltaic power generation,the problem of limited unidirectional V2 G response adjustment in residential areas is introduced.The particle swarm optimization algorithm is introduced to improve the one-way V2 G response to a twoway V2 G response,and the V2 G of residential area EV is improved through more detailed control.