Research On Optimal Dispatching Strategy Of Microgrid Based On Intelligent Algorithm

Facing the energy crisis and environmental pollution,the country urgently needs to implement the transformation of energy structure and vigorously promote the development of renewable energy.The access of various distributed power sources has brought benign influence to the power system.However,due to the influence of weather and other factors,the output of distributed power sources cannot be controlled artificially,and it has obvious intermittency and uncertainty.The integration of these new energy sources into the power grid impacts the power quality of the power network and affects the power supply reliability of the grid.Microgrid is widely used as an effective form of distributed power supply.How to coordinate the output of each distributed power supply,maintain the stable operation of microgrid,reduce the impact on the main network,and maximize the economic benefits brought by microgrid is a research hotspot at present.The research contents of this paper include the following points:Firstly,this paper establishes the mathematical model of the microgrid system.This paper analyzes the output of photovoltaic generator,wind generator,micro gas turbine,fuel cell and energy storage device in the microgrid,introduces the principle of each component in the microgrid system,and establishes a mathematical model.Taking the microgrid economy and environmental protection as the goal,and considering the constraints such as power balance and battery charging and discharging,the operation strategy of microgrid connection is determined.Secondly,this paper improves the bird swarm algorithm.The characteristics of microgrid optimization scheduling problem are analyzed,and the advantages and disadvantages of common intelligent algorithms are summarized.According to the characteristics of solving the problem,this paper chooses the Bird Swarm Algorithm to solve the problem.Based on the principle of bird swarm algorithm(BSA),it is easy to fall into local optimum,and the convergence speed is slow.An Adaptive Mutation Bird Swarm Algorithm(AMBSA)is proposed.Specifically,by comparing the population fitness variance value and the size of the current optimal solution,the algorithm is used as the criterion to determine whether the algorithm falls into the local optimum.According to the decision results,the Cauchy mutation is carried out on the local optimal individual to jump out of the local optimum,so as to re-search the global optimal value.Finally,an example is given to verify the improved algorithm.Taking a typical microgrid as an example,the AMBSA is used to solve the problem,and the power output results of each power source are analyzed,which proves the feasibility of the proposed optimal scheduling model and optimal scheduling strategy.At the same time,the horizontal comparison and vertical comparison of the algorithm are respectively used to verify the effectiveness and advancement of AMBSA in the optimization scheduling problem of microgrid.In horizontal comparison,particle swarm optimization algorithm,genetic algorithm and AMBSA were used to solve the model.Longitudinal comparison is made between AMBSA and two other improved methods of bird swarm algorithm to solve the model.The simulation results prove that AMBSA indeed has better optimization ability,faster optimization speed,and lower operation cost of the optimization result of microgrid scheduling,which proves that the AMBSA has advanced nature in solving complex microgrid optimization scheduling problems considering environment and cost comprehensively.