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...

this paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on mixed integer nonlinear programming (minlp). the renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. as well as, coordinated charging strategy of electrical vehicle...

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...

This article presents a Harmony Search Algorithm to solve the unit commitment (UC) problem. A micro grid includes various types of smart distributed generators, renewable generators, storage devices and controllable load. A micro grid must satisfy its local needs and should be under the hierarchical control of management system. Due to this combination of conventional and renewable sources, the...

Market based valuation of generation assets is a critical problem in competitive power markets. Previous approaches to this problem has included modeling the cash flow from a generator as a spread option between electricity and fuel prices, which ignores the effect of flexibility and startup costs. Simulation based approaches with full unit commitment constraint have been presented, but they ar...

In this paper, the Shuffled Frog Leaping Algorithm is proposed to solve the Profit Based Unit Commitment problem under deregulated environment with emission limitation. The bi-objective function optimization problem is formulated as a maximization of the Generation Companies profit and a minimization of the emission output of the thermal units, while all of the constrains should be satisfied. T...

Improved version of Honey Bee Mating Optimization (IHBMO) algorithm is developed and applied for Unit Commitment Problem (UCP) in this paper. Actually, the optimal solution of the nonlinear scheduling problem is important and it has complex computational optimization process. This problem is a challenging undertaking to accommodate variations in the power system, especially when several thermal...

We consider the problem of minimizing costs in the generation unit commitment problem, a cornerstone in electric power system operations, while enforcing an N-k-ε reliability criterion. This reliability criterion is a generalization of the wellknown N-k criterion, and dictates that at least (1−ε j) fraction of the total system demand must be met following the failures of k or fewer system compo...

This paper presents a new approach via improved version of genetic algorithm to solve optimal unit commitment (UC) problem. Fast Messy Genetic Algorithm (FMGA) is applied to the calculation of optimal unit commitment problem. The test results demonstrate that not only the FMGA procedure consider is the constraints very well, but also has some advantages, such as good convergence, fast calculati...