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Wind-solar Output Simulation And Multi-energy Complementary Short-term Optimal Dispatching On The Lower Reaches Of The Yalong River

Posted on:2022-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:T LiuFull Text:PDF
GTID:2492306512472854Subject:Hydrology and water resources
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This paper mainly focused on the short-term optimization dispatching research of the multi-energy complementary based in the lower reaches of the Yalong River.The article started with the acquisition of wind and solar resource data at the site of the wind and solar power stations in the basin.By clustering the wind and photovoltaic power stations in the basin,extracting representative sites,establishing a wind and solar power conversion model,a long series of wind and solar power data were obtained.On this basis,the synchronous back-generation reduction method was used to extract the typical sunrise power scenes,and the output scenes of each cluster were combined,and K-means clustering was used to obtain the typical scenes of winter,spring,autumn and summer.Subsequently,a multi-energy complementary dispatching model was constructed.With the goal of maximizing the total power generation and the most stable residual load process of the complementary system,the synchronous peak shaving strategy was introduced to realize the research on the dispatching operation process of the multi-energy complementary system.The specific research content of each part is as follows:(1)Cluster division of wind and solar power plants:The cluster division of wind farms in the basin was realized through genetically optimized K-means clustering.Similar distances were used as the evaluation criteria for consistency between different sequences,and the class spacing and the average class inner spacing were compared.The ratio was used as a fitness function to evaluate the pros and cons of the clustering results.Subsequently,using the geographic latitude information and the distribution characteristics,the division of photovoltaic power plant clusters was realized,and the nearest site to the center of the cluster was selected using European distance as the representative site of the cluster.The results of the cluster division would be used to generate the resume and typical scenarios of the output model.(2)Wind-solar power conversion model:Based on the physical principle of wind-solar output,a wind-solar power conversion model was established,and differentiated modeling was realized according to the characteristics of the representative sites of each cluster.Based on this,the long-term value of each cluster was obtained by using Greenwich and Meteonorm numerical products.Scenery power sequence.The wind power conversion model included two parts:the wind wheel captures wind energy and the generator converts electrical energy.The wind power outputted series can be obtained through the conversion relationship of wind energy-mechanical energy-electricity;the photovoltaic power conversion model includes solar radiation model,photovoltaic panel model and inverter efficiency.In the three parts of the model,the model was used to obtain the effective irradiance,and then the photovoltaic output sequence was obtained through the photovoltaic panel model and the inverter efficiency model.(3)Typical scene extraction process:First,used the synchronous back-generation reduction method to reduce the scenes of the winter-spring and autumn-summer periods to obtain five typical day processes,and then combined the typical day processes of each cluster,Got several sets of combined scenes,used K-means clustering to perform cluster analysis on the combined scenes.Combined the typical wind and wind scenes obtained in the winter,spring,summer and autumn periods to obtain 25 groups of wind and wind typical output scenes,which are used for multi-energy complementary scheduling research.(4)Multi-energy complementary dispatching research:With the goal of maximizing the total power generation and the most stable residual load of the complementary system,considering the three types of constraints of power system,power station and water conservancy system,the synchronous peak shaving coding strategy was introduced to construct a multi-energy complementary dispatching model.Taking the typical scenes of water-wind-solar and the typical daily load process in Sichuan Province as model inputs,the study of multi-energy complementary dispatching was carried out.The results showed that the dispatching model can well adjust the operation process of the cascade hydropower stations on the lower reaches of the Yalong River,so that the complementary output curve followed the change of the load curve.At the same time,the regulation performance and flexibility of the power station in winter and spring were better than those in summer and autumn.The analysis shows that the Yalong River has abundant runoff in summer and autumn,and the hydropower station is often at full capacity,so the regulation performance is reduced.
Keywords/Search Tags:Cluster division, Physical power model, Typical scene, Synchronous peak shaving strategy, Multi-energy complementary scheduling
PDF Full Text Request
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