Position-Capacity Optimization Method for Distributed Photovoltaic Accessing to Distribution Network Based on PV Load Uncertainty Quantification

Abstract

As the proportion of photovoltaic grid-connected systems increases year by year, the uncertainty of photovoltaic output and load has an increasingly significant impact on the stable operation of the distribution network. In this paper, a photovoltaic access location-capacity optimization method in distribution lines based on the quantification of photovoltaic-load uncertainty is proposed, and the uncertainty propagation of the PV load model parameters in the distribution network power flow calculation node voltage output model is analyzed. This paper proposed an improved Sobol’s method based on polynomial development to quantitatively evaluate the uncertain impact of photovoltaic load parameters, constructed a photovoltaic access location-capacity evaluation model for distribution lines based on uncertainty quantitative assessment, optimized the access capacity of nodes by using the goal function of line loss minimization, and finally verified the feasibility and effectiveness of the proposed method by improving the IEEE33 node.

High Proportion of Distributed PV Reliability Planning Method Based on Big Data

“…The planning principle of merit and demerit applies under the circumstances [1][2][3]. The opportunity constrained programming model for the limit capacity calculation of grid-connected photovoltaic power stations is studied, and solar radiation stochastic time series models and photovoltaic system models with different tracking forms are introduced by maximizing the capacity of grid-connected photovoltaic power stations as the planning goal [4,5]. The allowable access capacity range of distributed photovoltaic power that meets voltage requirements under the same distribution of load and distributed photovoltaic power capacity along the feeder is studied [6][7][8].…”