Research On Distributed Temperature Control Load Control Strategy Of Distribution Network

The load response of the urban distribution network is receiving more and more attention.The load characteristics of the temperature-controlled load are similar to the output of wind power generation,with random and intermittent characteristics.Therefore,the large-scale wind power and temperature-controlled load access make the power grid The stability of is subject to unprecedented challenges.However,the problems caused by wind power access can be solved with temperature-controlled loads.The load side is an important part of the power system and has the responsibility to provide support for new energy consumption.This paper mainly studies the home temperature control load-the air source heat pump equipment participates in the load regulation of the power grid.On the premise of satisfying the user’s comfort,the power grid side achieves the goals of improving load characteristics and reducing the wind curtailment rate,and the user side receives corresponding economic subsidies.To achieve the goal of a win-win situation between the power grid and users,the main research contents are as follows:The working principle of home temperature-controlled load-air source heat pump is introduced,and the thermodynamic equivalent model of single air source heat pump is established.Based on the single model,the aggregation model of air source heat pump group is established by Monte Carlo method.The load smoothness of the source heat pump group aggregation model is simulated and analyzed.The simulation results show that the air source heat pump group has the ability to participate in the load regulation of the power grid.A non-linear combined forecasting model for wind power based on meta-learning is proposed.Based on a single time series model and a single linear regression model,the two basic predictors are combined by the meta-predictor.Power prediction.The simulation results show that the combined prediction model based on meta-learning has higher prediction accuracy than that using only a single model,which provides more accurate wind power prediction value for the later regulation of temperature-controlled loads to absorb wind power.A temperature-controlled load regulation strategy that satisfies the user’s comfort is proposed.The multidimensional state queue method fully guarantees the user’s comfort during load regulation,improves the load characteristics and reduces the wind abandonment rate.Simulation results show that after adopting the regulation strategy proposed in this paper,while satisfying user comfort,the peak-to-valley difference,peakto-average ratio,load variance and wind abandonment rate of the community are significantly reduced,which verifies that the strategy is reasonable Effectively,the control sequence of the equipment during the control process is also analyzed.The load control system of the distribution network level is described.By analyzing the advantages and disadvantages of different control methods,a layered load control structure is established.The logical function structure of the load control system of the distribution network level is introduced.The description introduces the functions of various modules.Users can interact with the power grid through the home load control system.Finally,the process of load regulation is introduced,so that the regulation strategy proposed in this paper can be transformed from theory to reality.