We present a parallel implementation of a Lagrangian relaxation algorithm for solving stochastic unit commitment subject to uncertainty in wind power supply and generator and transmission line failures. We present a scenario selection algorithm inspired by importance sampling in order to formulate the stochastic unit commitment problem and validate its performance by comparing it to a stochasti...

Abstract In power system studies the unit commitment problem (UC) is solved to support market decisions and assess adequacy. Simplifications are made solve UC faster, but they without considering consequences on solution quality. this study we thoroughly investigated impacts of simplifications quality computation time a benchmark set consisting almost all available instances in literature. We f...

In this paper, Genetic Algorithm is used to solve the profit based unit commitment for deregulated power system in order to achieve optimal generation schedule and maximum profit of GENCOS. Deregulation of power system means unbundling of vertically integrated power system into generation, transmission and distribution companies. This proposed algorithm or approach is tested on IEEE-30 bus syst...

Considering the economics and securities for the operation of a power system, this paper presents a new adaptive dynamic programming approach for security-constrained unit commitment (SCUC) problems. In response to the “curse of dimension” problem of dynamic programming, the approach solves the Bellman’s equation of SCUC approximately by solving a sequence of simplified single stage optimizatio...