| With the rapid development of human society,economy and science and technology,fossil energy is increasingly exhausted,and at the same time,we are facing the huge pressure of environmental pollution.Countries around the world have begun to attach importance to the use of renewable energy.Among them,wind power and photovoltaic power generation have become the most important power generation mode in clean energy power generation due to their advantages of short infrastructure cycle,flexible installed scale,low operation and maintenance costs.But wind power and photovoltaic power generation also show intermittent,randomness,volatility and other shortcomings,when its permeability reaches a certain proportion,the stability of the power grid will be significantly affected.At the same time,there are also low energy efficiency and large amount of wind and light abandoned.Microgrid technology utilizes the complementary characteristics of distributed power generation in time and space to combine different types of power generation forms,and together with energy storage devices,energy conversion devices and loads,the micro-grid is composed.When the microgrid works in the grid-connected mode,the configured energy storage device can achieve the effect of suppressing the output power fluctuation,clipping the peak and filling the valley,and reducing the amount of wind and light abandoning by absorbing the emitted energy,so as to increase the stability of the whole power system in the case of large-scale renewable energy grid connection.In the independent operation mode,the economy of the microgrid system can be guaranteed by optimizing the capacity of the power supply and reasonably dispatching the output of each device.In this paper,the goal of stable,economical and clean operation of microgrid system is realized through the research of microgrid optimization dispatching.Microgrid is the foundation of smart power grid,so the research on microgrid has broad application prospects.In this paper,by studying the structure and capacity scheduling status of domestic and foreign microgrids,the wind-fuel storage microgrid was first established as the research object.Secondly,modeling and analysis are carried out for each component system in the microgrid: wind power system,photovoltaic system,diesel generator,battery,etc.Various equations and inequality constraints are put forward from the aspects of power balance,the maximum number of DG installation,the working conditions of battery and diesel generator,etc.Taking the utilization rate of wind-solar resources and the total operating cost of the system as objective functions,the multi-objective optimization solution of wind-solar firewood storage microgrid was carried out.Aiming at the multi-objective optimization problem of optimal scheduling of microgrid system in this paper,a multi-objective particle swarm optimization algorithm(MOIPSO)with improved inertia weight is proposed to solve it.The multi-objective particle swarm optimization with improved inertial weight is designed to fit the change of the importance of parameters in different stages of the algorithm by updating the formula,which improves the precocity problem of the traditional particle swarm optimization and enhances the convergence.Finally,MATLAB was used to simulate the specific calculation examples,and the wind speed and photovoltaic output power models were verified.The consumption ratio diagram of landscape resources and the output force of each subsystem equipment were obtained.The effectiveness of the model was verified by analyzing the utilization rate and economic indicators.Through the comparison and analysis of the convergence before and after the algorithm improvement,the feasibility of the algorithm is verified,and the optimal scheduling of the capacity of each part of the microgrid is realized,so as to achieve the goal of stable,economic and clean operation of the grid. |
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