Research On Energy Management Of Microgrid Based On Improved NSGAⅡ Algorithm

With the innovation of distributed power generation technology,the application of microgrid has also received extensive attention.The operation of distributed power in the form of microgrid not only meets the demand for uninterrupted power consumption of the load in the microgrid,but also improves the utilization rate of renewable energy such as wind and solar,and also ensures the power consumption in remote areas.The output power of various power sources in the microgrid can be optimized through the microgrid energy management system,thereby increasing the effective use of energy,and realizing the economic operation of the microgrid while ensuring stable operation.When the microgrid operates independently,the internal microsources provide power demand for all loads.Due to the randomness and volatility of renewable energy,it is easy to cause mismatches in power supply and power demand.The power grids are connected through tie lines.When the micro-grid internal micro-source output is reasonably configured,there are many models that need to be optimized,and the operation constraint conditions are complex,which increases the difficulty of target optimization.In view of the above-mentioned problems,this paper conducts in-depth research on the energy management technology of microgrid in different operation modes.The main work is as follows:Firstly,analyze the operating status of various forms of power sources in the microgrid,and establish the corresponding model expressions.Analyze the different operating conditions of the microgrid,establish the optimization goal and study its constraint conditions.Secondly,for the optimization of the economic operation target and environmental protection target of the microgrid,the differential mutation operator is introduced into the NSGAII algorithm.Based on the Pareto theory,combined with the improved NSGAII multi-objective algorithm,the power output of the power supply in the microgrid is optimized.In order to improve the economic efficiency of system operation.Finally,the MATLAB platform is used to carry out the simulation analysis of the calculation examples.The simulation results confirm that the improved algorithm proposed has a faster convergence speed for the multi-objective optimization process of the microgrid,and is more accurate in seeking the optimal solution.The algorithm is reliable for improving the operation of the microgrid.The performance and economy are practical and feasible.