We present a perfect formulation for a single generator in the unit commitment problem, inspired by the dynamic programming approach taken by Frangioni and Gentile. This generator can have characteristics such as ramping constraints, time-dependent start-up costs, and start-up/shut-down ramping. To develop this perfect formulation we extend the result of Balas on unions of polyhedra to present ...

Valve-point loading affects the input-output characteristics of generating units, bringing the fuel costs nonlinear and nonsmooth. This has been considered in the solution of load dispatch problems, but not in the planning phase of unit commitment. This paper presents a mathematical optimization model for the thermal unit commitment problem considering valve-point loading. The formulation is ba...

We present a perfect formulation for a single generator in the unit commitment problem, inspired by the dynamic programming approach taken by Frangioni and Gentile. This generator can have characteristics such as ramp up/down constraints, time-dependent start-up costs, and start-up/shut-down limits. To develop this perfect formulation we extend the result of Balas on unions of polyhedra to pres...

In this paper an application of a combined method for the profit based unit commitment problem (PBUC) using Genetic Algorithm and Lagrangian Relaxation (LR) is presented. The algorithm is proposed to solve PBUC under deregulated environment with the objective of maximizing GENCO’s profit and minimizing the operating cost. The problem formulation of the unit commitment takes into consideration t...

Received Feb 8, 2013 Revised Aug 1, 2013 Accepted Aug 18, 2013 In this paper an attempt has been made to solve the profit based unit commitment problem (PBUC) using pre-prepared power demand (PPD) table with an artificial bee colony (ABC) algorithm. The PPD-ABC algorithm appears to be a robust and reliable optimization algorithm for the solution of PBUC problem. In a deregulated environment, ge...

Recently increasing penetration of renewable energy generation brings challenges for power system operators to perform efficient power generation daily scheduling, due to the intermittent nature of the renewable generation and discrete decisions of each generation unit. Among all aspects to be considered, unit commitment polytope is fundamental and embedded in the models at different stages of ...

This Paper explores the existing methodologies for the solution of unit commitment problem of large size power system. The survey covers exhaustive review of literature available over the past five decades published by the Pioneers, Experts & Researchers working in this field. It includes publications in standard international journals like IEEE, IEE, ELSEVIER etc, and proceedings of prominent ...

Automation of power system nowadays is one of the great spreading fields in electrical engineering. Artificial Intelligence Technique helps in developing and modifying the automated power system. The particle swarm optimization (PSO) technique is one of the recent artificial intelligent techniques. In this thesis a modified particle swarm optimization (MPSO) is utilized in Unit Commitment Probl...

in this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. system uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. for handling uncertainties, monte carlo simulation is employed for generation several scenarios and then a reduction method is used to d...

The Unit Commitment problem in energy management aims at finding the optimal productions schedule of a set of generation units while meeting various system-wide constraints. It has always been a large-scale, non-convex difficult problem, especially in view of the fact that operational requirements imply that it has to be solved in an unreasonably small time for its size. Recently, the ever incr...