Research On Coordination Control Method Of Renewable Energy Generation Based On Combined Cooling And Heating

The uncertainty of wind power has hindered the large-scale development and utilization of wind energy to a certain extent.At the same time,the problems such as the uncertainty of wind power wind because of power curtailment and fluctuation will lead to the imbalance between power supply and demand and system stability.With the development of grid demand side management and load control technology,it is possible to stabilize wind power uncertainty by using load tracking control strategy.Among them,the cooling and heating load has the potential to actively participate in the system to stabilize wind power uncertainty due to the rapid response,low sensitivity and matching wind power uncertainty.This paper focuses on scatter cooling and heating load and cluster cooling and heating load.The coordinated cooling and heating load control strategies is proposed for enhancing wind power acceptance and suppressing wind power fluctuation.The main contents of the thesis include the following parts.Firstly,the influence of meteorological parameters and architectural features of the cooling and heating load is analyzed.Then the indoor heat and moisture transfer function of cooling and heating load is established.The operating status of the single air-conditioning system under the condition of indoor energy cycle changes is studied based on the user thermal comfort degrees.The scatter cooling and heating load power model is established.The load power model of secondary polymerization of the cluster cooling and heating load is established based on the user thermal comfort degrees and similar electrical characteristics.The actual controllability of the observed cooling and heating load in the system is also studied.According to the model,three comprehensive comfort weights are used as variables.Secondly,according to the regulation of cooling and heating load,the statistic index of wind power uncertainty is studied.The characteristic parameters that characterize the reverse peak shaving and fluctuating characteristics of wind power are defined.Based on the principle of LPF,the corresponding relationship between reverse peak-shaving characteristics and cluster cooling and heating load is analyzed to get the wind power curtailment curve.Then the corresponding relationship between wind power fluctuations and cooling and heating load is analyzed to get the wind power deviation curve.In this way,a wind power model of wind power participating in coordinated control of source and load is established with the consideration of the influence of cooling and heating load.Finally,in order to stabilize the uncertainty of wind power and improve the robustness of the system,the two-stage optimization model is proposed based on robust control of cooling and heating load.Wind power curtailment is accepted by cooling and heating load of cluster and wind power fluctuation is suppressed by cooling and heating load of scatter.The CCGmethod is used to solve the two-stage optimization model model.Based on a variety of uncertain wind power curtailment,wind power fluctuation and controllable capacity deviation of cooling and heating load,the results of absorbing wind power and reducing the fluctuation of wind power is analyzed.It is verified that the proposed method is more robust than the deterministic control strategy for cooling and heating load.