articleIEEE Transactions on Power SystemsNov 1, 2007Closed access

Point Estimate Schemes to Solve the Probabilistic Power Flow

University of Castilla-La Mancha · Universidad de Málaga

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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…

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Authors

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Topics & keywords

Keywords
  • Probabilistic logic
  • Electric power system
  • Monte Carlo method
  • Point estimation
  • Point (geometry)
  • Random variable
  • Mathematical optimization
  • Computer science
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