Research On Multi-objective Optimization Management Of Micro Grid Dynamic Scheduling

As the global energy supply is increasingly nervous,serious atmospheric pollution and the traditional power grid vulnerability in the face of the sudden situation,cause more and more people to study the distributed power generation technology,and the effective integration of micro power grid as a distributed power generation,to be able to maximize the advantages of distributed generation,and the ability to run at the same time in the grid and island two modes,which greatly improves the security and stability of the micro grid system for power supply.However,the diversity and complexity of distributed generation also bring many new problems to the economic operation of micro grid.And micro economic operation of power grid in study will help to realize economic operation of power grid,the grid due to different source types,job characteristics vary,so its economic operation and the traditional power grid economic operation has the very big difference,so for the economic optimization of micro power grid scheduling research has become the current focus in the study of micro power grid technology.Firstlly,this paper established a dynamic economic dispatch model for a cogeneration microgrid consisting of a photovoltaic cell,a wind turbine,a microturbine,a fuel cell,and a storage battery,and modeled and analyzed various microsources to take account of system operating costs and pollutant management.The cost is at least a double goal,and at the same time,the power balance constraints imposed by the system,the constraint conditions of the output constraints of the micro-sources,the rate constraints of the climbing rate,and the power constraints mutually exchanged with the main network are taken into consideration.Secondly,a brief analysis of the operation of the microgrid in both grid-connected and island-isolating modes is given.In formulating the corresponding specific scheduling strategy,it is fully considered that the microgrid operation will be generated between the peak-to-peak period and the large grid in the grid-connected mode.Different power trading,and then separately formulated the micro-grid in the grid and island operations under two different modes of economic scheduling strategy.Aiming at the characteristics of multi-variable,multi-constraints and nonlinearity of the micro-grid economic dispatching problem,combined with the advantages of fast convergence speed of PSO and strong global optimization ability of genetic algorithm(GA),a combination of PSO and GA is proposed.The hybrid optimization algorithm-PSO-GA hybrid algorithm,which is tested by two standard test functions,shows that the PSO-GA algorithm is better than the PSO algorithm both in terms of convergence speed and search capability.Finally,a specific microgrid is used as an example for simulation analysis.The system includes both thermoelectric and electric loads,fully taking into account the local ladder price policy,and according to the optimized scheduling strategies in the two modes of operation,grid-connected and island-based,respectively.The PSO-GA hybrid algorithm was used to solve the established model to obtain the optimal output of each distributed power source during an optimization period,the power trading situation with the large grid,and the total operating cost of the system during each period,and obtained with the basic PSO algorithm.The results are compared.The simulation results show the effectiveness and authenticity of the proposed algorithm and scheduling strategy.