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Research On Switched Reluctance Wind Power Generation Control System

Posted on:2020-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:C W WangFull Text:PDF
GTID:2392330572491763Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the advancement of technology,new energy generation accounts for an increasing proportion of energy.Although the proportion of non-renewable energy generation is still very high,it is a long-term process for new energy to replace non-renewable energy.How to effectively improve the utilization of new energy and coordinate the optimization of non-renewable resources and new energy during this time is extremely extreme.Important issues.More and more new energy sources are connected to the grid,and how to coordinate power generation with thermal power and wind power has become a problem that must be solved in power dispatching.According to social needs and environmental background,under the premise of ensuring the safe operation of the grid,the multi-objectives are set to the total cost of power generation and the fluctuation of thermal power units.In this paper,the basic particle swarm optimization algorithm is improved.The weighted ratio of particles is improved according to the local optimal trap of the algorithm.The improved algorithm is applied to the new model of wind power and thermal power coordination scheduling based on the dynamic weight change ratio of the adaptive value of the particle.The feasibility and simulation results show that the algorithm not only maintains the diversity of particles,accelerates the running speed of convergence,but also jumps out of the local optimal trap.Large-scale grid integration of wind power will affect the output of thermal power.In order to solve the uncertainty and anti-peaking of wind power,the general distribution theory is used to predict wind power.Based on the analysis of wind power characteristics,this paper considers wind power generation cost,pollutant gas emission,wind power operation and maintenance cost,operation cost of clean polluting gas device and positive and negative rotation reserve constraints under wind power,and establishes comprehensive consideration of thermal power operation cost and gas cleaning device.Wind power and thermal power coordinated scheduling model for cost,wind power maintenance costs and pollutant emissions.The different optimization objectives are traded off,and different application scenarios of wind power enrichment power dispatching scenarios are designed.The simulation results verify the effectiveness of the model.
Keywords/Search Tags:Wind power uncertainty, coordinated scheduling, economic optimization, multi-objective particle swarm optimization
PDF Full Text Request
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