Point Estimate Schemes to Solve the Probabilistic Power Flow
University of Castilla-La Mancha · Universidad de Málaga
Abstract
This paper analyzes the behavior of Hong's point estimate methods to account for uncertainties on the probabilistic power flow problem. This uncertainty may arise from different sources as load demand or generation unit outages. Point estimate methods constitute a remarkable tool to handle stochastic power system problems because good results can be achieved by using the same routines as those corresponding to deterministic problems, while keeping low the computational burden. In previous works related to power systems, only the two-point estimate method has been considered. In this paper, four different Hong's point estimate schemes are presented and tested on the probabilistic power flow problem. Binomial…
Citation impact
- FWCI
- 8.61
- Percentile
- 100%
- References
- 40
Authors
2Topics & keywords
- Probabilistic logic
- Electric power system
- Monte Carlo method
- Point estimation
- Point (geometry)
- Random variable
- Mathematical optimization
- Computer science