Research On Optimal Dispatching Strategy Of Microgrid Source-Grid-Load-Storage Coordination

In recent years,countries around the world have reduced greenhouse gas emissions in the form of global agreements,and my country has also proposed the goal of “emission peak and carbon neutrality”.With the increasing depletion of fossil energy,the supply of conventional energy is becoming increasingly tight,and the willingness to respond to climate change and environmental protection is becoming stronger and stronger.The development and utilization of carbon capture technology and renewable energy power generation has become a research hotspot.At present,the carbon capture technology is still in the research and development and demonstration stage,and the application cost is relatively high.However,with the rapid increase in the installed capacity of renewable energy power generation,the difficulty of orderly consumption leads to a high rate of abandoned light/wind in the power generation process,and the traditional “source-following-load”dispatching mode has not fully utilized the adjustment potential of some devices.The construction of the power Internet of Things provides an opportunity for the coordination of the source-gird-load-storage,and provides a basis for precise equipment regulation.With the help of the sharing of electric energy between multiple microgrids and the reasonable arrangement of adjustable equipment in the microgrid,it can promote consumption for renewable energy generation.It is very important to study the coordinated operation method between microgrids and the output of equipment in microgrids for power dispatching.The main research results of this paper are as follows:(1)In view of the limitation that the particle swarm optimization algorithm is easy to fall into the local optimal solution,in order to facilitate the solution of the power scheduling model with complex constraints established in the paper,and to ensure the convergence speed and accuracy of the solution process.The basic particle swarm optimization algorithm and the introduced improved particle swarm algorithm have been improved,and the step size elastic coefficient is used in the improved strategy to affect the role of individual optimal particles and global optimal particles in the speed update process.It can be seen from the simulation that when the step size elastic coefficient of the improved algorithm is smaller,in the iterative process,by affecting the direction and step size of the subsequent speed,the search range of the particles is expanded,which can effectively avoid the premature maturity of the particles to a certain extent,and significantly improve the convergence speed and precision.(2)Considering the participation of electric vehicles in dispatching in multiple scenarios,in order to ensure the balance of supply and demand in the microgrid,solve the problem of peak load during peak hours,and promote the consumption of renewable energy power generation such as photovoltaics and wind power,and reduce the rate of abandoned light/wind.In view of the uncertainty of renewable energy power generation and load forecasting,the Latin hypercube sampling method is used to simulate a large number of renewable energy output and load scenarios.The scene still maintains the typical characteristics of the original scene;considering the user’s inherent habits of using electric vehicles,a specific electric vehicle output plan is proposed for electric vehicles,in which electric vehicles include four working states;the difference between two common scheduling methods,such as static scheduling and dynamic scheduling,is analyzed,and they are applied to the two situations with/without electric vehicles respectively;after fully analyzing the working characteristics of the source and storage and their interaction characteristics,considering the interaction methods such as “source-source interaction” and “source-storage interaction” and environmental benefits to establish scheduling model.Through the simulation solution,it can be seen that the reasonable output planning of electric vehicles is conducive to improving the local consumption rate of renewable energy power generation,avoiding unnecessary load shedding operations,improving the power supply sequence of the system during peak hours,and reducing the number of internal combustion engines and diesel generators.The use of electric vehicles reduces pollutant emissions and treatment costs,and verifies the effectiveness of the dispatch strategy including electric vehicles.(3)In a multi-microgrid environment,an active power distribution system that promotes consumption of renewable energy generation such as photovoltaics and wind power is established,including a strategy selection module,a power solution module,and an equipment control module.In order to ensure the stability and economy of the system operation,a two-layer multi-microgrid power system framework for power dispatching is proposed.The core of dispatching is to realize the self-sufficiency of electric energy in the microgrid and mutual benefit between the microgrids,and then tap the dispatching potential;the adaptive adjustment process of the microgrid execution strategy is proposed,and the microgrid can flexibly select two strategies,such as the global optimal strategy of multiple microgrids and the local optimal strategy of a single microgrid,according to the actual situation;the difference curve is used to transfer the load;analyzing the capacity setting of the power tie line and energy storage,and then reasonably arrange the controllable resources;the Monte Carlo method is used to analyze the uncertainty of the tie line failure and establish the tie line maintenance priority.After fully considering the coordination characteristics of the source-grid-load-storage,the total operating cost of the system after using the Yalmip toolbox to solve the power scheduling model integrating the resources of the three microgrids is significantly lower than the total cost of the three microgrids individually optimized.The consumption rate of renewable energy power generation is improved,and the effectiveness of the dispatching strategy is verified.