Research On The Optimization Of Power Grid Regulation Capacity Based On The Coordination Of Multi-energy Microgrid And Energy Storage Power Station

In the context of energy shortage and increasingly serious environmental problems,the development and utilization of renewable energy based on wind and solar has become the direction of energy transformation and development.In view of the widespread distribution of renewable energy in the power grid,considering the problems of wind and solar energy abandonment due to energy fluctuations,this paper studies the coordinated regulation ability of multi-energy microgrids and energy storage power stations to the power grid,and provides the regulation capacity required by the power grid through energy conversion and energy storage,which can reduce the amount of wind and solar abandoned by the power grid.However,there is still a problem that how to coordinate multi-energy microgrids and energy storage power stations in the energy grid to improve the regulation capacity,which needs to be solved.Firstly,in view of the capacity constraints of multi-energy microgrid and energy storage power station,based on the operating characteristics of multi-energy microgrid and energy storage power station,the energy conversion model of multi-energy microgrid and energy storage power station and the charge-discharge power model of energy storage power station are established.The energy interaction between multi-energy microgrids and energy storage power stations and the power grid is studied.By analyzing its power regulation characteristics,a power regulation flexibility model and an energy utilization model are constructed,which is used to evaluate the regulation capabilities of multi-energy microgrids and energy storage power stations.Secondly,in order to make better use of multi-energy microgrids and energy storage power stations,to achieve the coordination and cooperation of flexible adjustment resources.On the basis of the traditional power balance model,the wind and solar uncertainties of the renewable energy resource grid is analyzed.Multi-energy microgrids and energy storage power stations are introduced as flexible adjustment resources in the early stage.Considering the regulation demand probability balance model,a chance-constrained optimal scheduling model with minimum regulation operation cost and maximum regulation flexibility is established.Fuzzy chance-constrained programming is used to fuzzify the probability balance of regulation ability,the membership function is used to transform the model into certainty,and finally the improved particle swarm algorithm is used to solve the problem.Through numerical example analysis,it is verified that considering the probability balance of power adjustment can achieve a reasonable allocation of flexible adjustment resources,and improve the adjustable power range of multienergy microgrids and energy storage power stations.Finally,in order to further optimize the regulation capacity of multi-energy microgrids and energy storage power stations,the hierarchical optimization method is used to optimize the daily operation on the basis of day-ahead operation.According to the analysis results of the two-layer optimal configuration model,the regulation power is introduced as the decision variable between the upper and lower layers.In the upper layer,the multi-energy microgrid and the energy storage power station are taken as the goal of regulating revenue while in the lower layer,a two-level optimization model of the regulating capacity of the microgrid and energy storage station is built.Finally,the improved particle swarm algorithm is used to solve the problem,By setting different scenarios in the simulation and comparing the optimal scheduling schemes,the validity of the model is verified.