Study On The Dissipation Model Considering The Output Instability Of Small Hydropower

Hydropower is the most widely distributed and abundant renewable energy source in China,and also an important clean energy source.In recent years,in areas with abundant hydrological resources,small hydropower has developed rapidly compared to other types of hydropower.Small hydropower has significant volatility and randomness,which has a huge impact on the safe operation of the main network.Therefore,in-depth research on the impact of small hydropower consumption models considering output uncertainty on the power grid has important theoretical and practical significance.This article closely combines practical engineering to develop a dissipation model for small hydropower considering unstable output.A consumption model for predicting unstable output is proposed based on the randomness of small hydropower output through analysis of water flow,abandoned water volume,and output.On the small hydropower consumption model,a refined small hydropower consumption model is constructed based on the inequality constraints of the optimal power flow calculation;Solve using Monte Carlo models while ensuring system reliability;Introducing optimal power flow calculation into hydropower optimization scheduling to achieve system loss statistics and reliability evaluation;Combining the improved Particle Swarm Optimization algorithm and clustering comprehensive analysis method to predict the output model for simulation,the search efficiency is improved by introducing constraint tolerance and reducing the possibility of falling into local optima.Small hydropower stations are mostly unregulated runoff type hydropower stations,which are difficult to undertake grid peak shaving tasks in actual operation.They are prone to conflict with large and medium-sized hydropower stations during flood seasons,causing power outages and water abandonment in the main grid.A "bundling" model for small hydropower consumption has been proposed to improve the stability of small hydropower grid connection.On the basis of the above work,a consumption model considering the unstable output of small hydropower in southern Shaanxi was systematically studied.The results show that the small hydroelectric power plant group is "bundled",and in response to the capacity limitation of the transmission line during the "bundled" transmission process of small hydroelectric power,the limit capacity constraint condition of the transmission section is used to limit the participation level of the absorption model based on the strength of its relevant factors.Based on the operating status of small hydropower plants during both high and low water periods,the clustering comprehensive analysis method is used to provide the optimal output scenario and inflection point.For the reduction of small hydropower scenarios,the clustering fuzzy method is used to achieve scenario division,and the clustering comprehensive quality method is used to determine the optimal scenario category.This simplifies the calculation process of the model and improves the stability of system operation.Establish a consumption model that considers the instability of small hydropower output,minimize water abandonment and improve power generation capacity while considering weather factors,and use a PSO algorithm that considers fault tolerance to improve search speed.The consumption model considering output instability proposed in this article is relatively different from general consumption models.The consumption model considering output instability proposed in this article is more practical than traditional consumption models in terms of load changes in the region.Its output curve is relatively flat,which can reduce power generation in low-end periods,enhance the stability of the power grid,and accurately predict water output,which to some extent improves the safety of the system Reducing the amount of waste water provides a solution strategy for future optimization models of small hydropower consumption.