With the large-scale development and utilization of new energy sources, the role of the network hub of the power grid connecting data and information is increasingly prominent, and the integration of substations and data center stations, photovoltaic power stations and other integrated substations will become an inevitable trend. In this paper, a decision model of converged data center is proposed with the objective of giving full play to the advantages of converged substation resources and improving data center utilization efficiency. By constructing a data center construction cost function and income and expenditure model, the construction of converged data center in substation is evaluated by combining a multi-index cost evaluation system. Finally, the calculation example analysis verifies the good feasibility of the decision method of substation convergence data center construction based on cost assessment considering the data center project requirements of the power grid company. The method provides technical support for the construction and evaluation of substation convergence data center and has important guiding significance.
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.
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