In order to solve the problem that a large number of distributed roof PV are connected to the power grid,resulting in the reduction of the grid's absorptive capacity,a calculation method of distributed roof PV carrying capacity based on the time-space characteristics of energy consumption is studied to improve the calculation effect of photovoltaic carrying capacity.The spatial lag model,spatial error model and spatial Dubin model are used to analyze the spatial and temporal distribution of energy consumption;With the time-space characteristics of energy consumption,the remote on load voltage regulating switch tap position and photovoltaic access capacity as decision variables,the maximum distributed roof photovoltaic bearing capacity as the objective function,and the power flow constraint and voltage probability constraint as the constraint conditions,a calculation model for the maximum distributed roof photovoltaic bearing capacity is constructed;Through the adaptive weight particle swarm optimization algorithm,the model is solved,and the maximum bearing capacity of the distributed roof is calculated.Experiments show that the method can effectively calculate the maximum bearing capacity of distributed roof photovoltaic under different confidence levels;This method can effectively reduce the three-phase imbalance of distributed roof photovoltaic generator and improve its absorptive capacity.
energy consumptionspatial-temporal characteristicsdistributedPV bearing capacityspatial lag modelparticle swarm