Economic needs and the ongoing liberalization of European electricity markets stimulate the interest of power utilities in developing models and optimization techniques for the generation and trading of electric power under uncertainty. Utilities participating in deregulated markets observe increasing uncertainty in load (i.e., demand for electric power) and prices for fuel and electricity on s...

The study of unit commitment (UC) aims to find reasonable schedules for generators to optimize power systems’ operation. Many papers have been published that solve UC through different methods. Articles that systematically summarize UC problems’ progress in order to update researchers interested in this field are needed. Because of its promising performance, stochastic programming (SP) has beco...

This paper presents a mixed-integer linear programming (MILP) formulation for sizing and siting of battery energy storage systems (BESSs). The problem seeks to minimize both operation costs BESS investment. proposed model includes restrictions the conventional security-constrained unit commitment problem, piece-wise approximation power losses, hydro generation units. is tested in 6-bus test sys...

This paper proposes a stochastic unit commitment (SUC) approach to solve day-ahead (UC) problem in system with high uncertainty net load which is caused by photovoltaic (PV) power plants. In contrast robust (RUC) only considers the worst-case scenario, SUC every possible scenario its probability. Multiple PV curves were obtained using k-means clustering on historical data. The proportion of clu...