Optimization method for siting and sizing distributed photovoltaic generation site considering load complementarity characteristics

Distributed photovoltaic generation access is necessary to accelerate the construction of new energy sources, but at the same time a large number of distributed PV poses a huge challenge to the safe and stable operation of the system. In order to effectively solve the distributed photovoltaic siting and capacity problem, this paper proposes a distributed photovoltaic siting and capacity optimization method considering the load complementary characteristics. First, considering the possible complementarity between distribution loads leading to load curve degradation, correlation identification between distribution loads and distributed photovoltaic based on Pearson model to determine the location of distributed photovoltaic access, Second, the optimal tidal model is solved based on second-order cone programming theory to determine the access capacity of distributed photovoltaic, Finally, the simulation is verified in a regional 10 kV distribution network. The results show that the siting and capacity optimization algorithm proposed in this paper can effectively reduce the network loss of distribution network, improve the voltage stability and enhance the utilization rate of distribution network facilities.