Optimization-Based Stochastic Analysis Method for the Assessment of PV Hosting Capacity

Currently, stochastic analysis methods have been widely used in the analysis of PV hosting capacity of distribution feeders; however, the traditional stochastic analysis methods have a drawback that have too many scenarios, i.e. amounts of the PV deployments, needed to analyze in solution process. This drawback then leads to the tedious calculation time is required in analysis, and makes the performance less effective when deal with a large-scale system structure. In order to overcome this problem, this paper proposes an optimization-based stochastic analysis method for PV hosting capacity assessment; meanwhile, the voltage sensitivity analysis is carried out by Particle Swarm Optimization to eliminate unnecessary PV installation locations. The implementation of MATLAB and OpenDSS co-simulation is used to realize the proposed method and the performances are validated by the tests in a 15-bus distribution system. Results show that the proposed method presents excellent performance than that in traditional method.