Utilities participating in deregulated markets observe increasing uncertainty in load (i.e., demand for electric power) and prices for fuel and electricity on spot and contract markets. This study proposes a new formulation of the unit commitment problem of electric power generators in a restructured electricity market. Under these conditions, an electric power generation company will have the ...

The paper addresses the unit commitment problem in power plant operation planning. For a real power system comprising coal and gas red thermal as well as pumped storage hydro plants a large-scale mixed integer optimization model for unit commitment is developed. Then primal and dual approaches to solving the optimization problem are presented and results of test runs are reported.

The unit commitment problem in power plant operation planning is addressed For a real power system comprising coal and gas red thermal and pumped storage hydro plants a large scale mixed integer optimization model for unit commitment is developed Then primal and dual approaches to solving the optimization problem are presented and results of test runs are reported

A formulation for the commitment of electric power generators under a deregulated electricity market is proposed. The problem is expressed as a stochastic optimization problem in which the expected profits are maximized while meeting demand and standard operating constraints. First, we show that when an electric power producer has the option of trading electricity at market prices, an optimal u...

A power system’s operating cost needs to be minimized by satisfying varying load demand while taking into account the prevailing constraints in a multiple unit electrical system. In this study, using genetic algorithms (GA), short-term thermal commitment problem was solved and an economical generating schedule made with solution obtained. Taking negative effects of emissions due use fossil fuel...

Unit commitment problem is a large scale nonlinear hybrid integer programming problem. Optimal unit commitment scheduling involves determining on/off states of units and determining generations of units. This paper proposes an improved particle swarm optimization (IPSO) for the solution of optimal unit commitment problem (UCP). In the proposed approach, the on/off states of units are limited in...