Research On Economic Dispatch Of Integrated Electricity-Heating Systems Containing Wind Power

In the dual crisis of energy and environment,wind power generation for an increasing proportion of my country.The inherent volatility and uncertainty of wind power threaten the power balance of the grid and are the main factors leading to wind curtailment.Electricity-heating systems allow the interconversion of electricity and thermal energy and reduce wind curtailment.The rapidity of wind power changes may cause the electricity to heat devices to fail to follow the change of wind power in time.Therefore,the response speed of the electricity to heat devices and wind power needs to be considered in the electricity-heating systems.Energy storage devices have a good effect of load shifting and peak smoothing.Different energy storage devices can track different wind power frequency bands and must correspond to different wind power frequency bands.In addition,wind-related uncertainties cause large errors in wind forecasts,which can be reduced due to the heat storage properties of the electric heating system itself.Therefore,for the purpose of improving wind power consumption,analyze the characteristics of electric heating systems and wind power,and study electric heating system dispatching models and strategies fall into hotspot for research of this area.Based on this,the research contents of this thesis are as follows:(1)In order to solve the problem that electricity-to-heat devices may not be able to absorb wind power in time due to equipment limitations,an economic dispatch method for electricity-heating systems based on electricity-to-heat devices is proposed.Whereas the air source heat pump has the advantages of rapid response,high energy efficiency and environmental protection,A dispatch model based on air source heat pumps is established.When wind power is surplus,the air source heat pump is used to convert the excess wind power into heat energy to provide heat for the electricityheating system.The excess part can be stored in a heat storage device to release heat energy when the wind power is low to reduce load shedding.The comparison of calculation examples verifies the effectiveness of the electricity-heating system dispatch model using air source heat pumps.(2)In order to solve the problem of adapting electric boilers,a multi-time scale economic dispatch for integrated electricity-heating systems based on Improved Variational Mode Decomposition(IVMD)is proposed.First,the variational modal decomposition method is improved,which is different from the original variational mode decomposition method based on the signal characteristics.The IVMD method can be adaptively decomposed based on the signal characteristics on the basis of the specified center frequency.Then,using the center frequency determined by IVMD according to the response speed of the wind power absorption device,the wind power signal is divided into three layers,so that the change speed of different wind power decomposition components matches the response speed of the absorption device.Then establish day-ahead,intra-day and real-time multi-time scale economic models,and determine wind power absorption equipment and components of wind power absorption according to the length of response time.The calculation example verifies the effectiveness of the scheduling model based on the IVMD decomposition results.(3)In order to use the heat storage characteristics of the heat grid to suppress the impact of wind power forecast errors on the grid balance,a multi-time scale economic dispatch method of electricity-heating systems based on heat storage characteristics of heating network is proposed.Long Short Term Memory neural networks initially is used to predict forecast errors.Day-ahead and real-time wind power prediction errors were generated by introducing multiple distribution models.The heat storage characteristics and delay characteristics of the heating network are considered into multi-time scale dispatching strategy.In the day-ahead and intra-day dispatch models,the heat storage characteristics generated by the inertial translation of the heating network are used to suppress the intra-day wind power forecast errors.In the real-time model,the real-time wind power forecast errors are compensated by using energy storage devices.In this example,the precision of the synchronization format is mixed.There are 39 figures,14 tables and 81 references in this thesis.