Research On Optimizaion Of Wind Power Penetration Limit In Regional Power Grid

In recent years,the issue of environmental pollution and energy depletion has received increasing attention,including rising fossil fuel prices,continuous depletion of fossil fuel resources,irregular weather patterns,and global warming caused by greenhouse gas emissions.Have prompted policymakers to think about the future of traditional energy.Under this circumstance,new energy power generation technology came into being,and many scholars and governments are looking for new and effective ways to use renewable energy to generate electricity.In the new energy power generation technology,the development of the wind power industry and ecological protection should be coordinated to avoid damage to natural ecological resources and the natural environment,and wind energy resources are rich,the technology is mature,the cost is low,and the environment is less damaged.Considering that as the scale of wind power continues to increase,it will have varying degrees of impact on the safe and stable operation of the distribution network,this paper studies the penetration power limit of grid-connected wind farms.First introduced the opportunity-constrained programming model,then introduced the basic principles and implementation steps of Monte Carlo algorithm,explained the theoretical knowledge and implementation steps of standard particle swarm algorithm,for particle swarm algorithm is easy to fall into local optimum,resulting in low convergence accuracy or It is difficult to converge and other shortcomings.Chaos population initialization and adaptive adjustment strategies are introduced to improve the particle swarm algorithm,and a self-adjusting particle swarm algorithm isproposed.Secondly,without considering the randomness of wind speed and load fluctuation,a mathematical model of wind power penetration power limit based on static constraints is established.Taking the standard IEEE30 node as an example,and taking the maximum capacity of 14 nodes to access the wind farm as the objective function,on the premise of meeting power flow constraints,voltage offset constraints,conventional unit output constraints,and transmission line transmission power constraints,the self-proposed The particle swarm optimization algorithm was adjusted for optimal calculation to obtain the capacity limit of the wind farm grid-connected at this time.Finally,based on the mathematical model of the statically constrained wind power penetration limit,considering the randomness of wind wave fluctuations,the randomness of node load fluctuations,and the variability of conventional unit output,the opportunity constraint planning was used to establish a wind power breakthrough based on dynamic constraints The mathematical model of transmission power limit is given,and the steps of solving the model based on Monte Carlo simulation with an improved particle swarm optimization algorithm are given.Finally,taking IEEE30 node as an example,four different simulation schemes are established,and the change of wind power penetration power limit after comparing and considering randomness is compared and analyzed,it is proved that the optimization strategy proposed in this paper can increase the wind power penetration power limit of grid-connected nodes.