Stochastic Optimal Allocation of Photovoltaic and Storage Capacity in Distribution System for New Energy Accommodation

To actively promote the low-carbon transformation of energy, constructing a new power system with new energy as the main body has received widespread attention. And the optimal allocation of the photovoltaic and storage capacity for the distribution network is the basis for ensuring the economical and safe operation of the power system. Considering the uncertainty of photovoltaic power output, a two-stage multi-objective stochastic optimization model is constructed to allocate and operate photovoltaic and storage capacity for the distribution system connected to renewable energy sources. First, a two-stage multi-objective stochastic optimization model for planning and operation is established by considering system investment and operation costs, photovoltaic curtailment penalty costs, network loss costs, and voltage offset targets. In addition, considering the uncertainty of photovoltaic output, multiple scenarios are used to characterize the uncertainty of photovoltaic output, combined with the K-means clustering method for scenario reduction. Particle swarm algorithms are utilized to figure out a two-stage multi-objective model for the planning and operation of photovoltaic and storage systems, employing the IEEE 33 node as an example. The results of this study demonstrate that the optimal allocation of photovoltaic and storage capacity of the distribution system can effectively promote the accommodation of new energy and the construction of a low-carbon energy system.