Load Response Resource Potential Assessment Method for Source-load Integration System Layout
To solve the problem of difficulty in evaluating demand response resources caused by the uncertainty of photovoltaic(PV)output fluctuations and the superposition of user load uncertainty under the integrated layout of source load,this paper proposes a load-side resource response potential estimation method that takes into account the coupling between distributed PV generation and load fluctuation.Firstly,based on a rational prediction model for PV generators,the low frequency components of the PV power generation curve are separated from the user net load curve.Secondly,the separated PV output and user original load data are taken as inputs to construct a load response resource evaluation model based on time-domain convolution and upper and lower interval estimation,achieving reliable interval evaluation for load response capacity.Finally,a simulation analysis case is constructed based on real distributed PV and customer load data.The results show that the proposed method reduces the difficulty of learning load characteristics by means of the PV-load separation method compared with other conventional prediction methods.At the same time,it constructs multi temporal convolution branches with different dilation rates,effectively solving the problem of inconsistent user electricity consumption cycles in the region.The prediction results have been significantly improved in indicators such as interval coverage,improving the accuracy and reliability of load response capacity evaluation.
distributed behind-the-meterload response resource assessmenttemporal convolutional networklower upper bond estimation
万方数据
维普
