This paper presents an artificial bee colony algorithm for solving optimal short term hydrothermal scheduling problem. To demonstrate the effectiveness of the proposed algorithm, hydrothermal test system consists of three thermal units and four cascaded hydro power plants has been tested. The valve point loading effect is taken into consideration. In order to show the feasibility and robustness...

In this document we develop a non-linear, stochastic and integer model for the problem of determining the optimal hourly schedule of power generation in a hydrothermal power system. We consider a power generation system comprising thermal and hydro units and the problem concerns the scheduling of operation levels for all power units and considering the hydro constrains, such that the operation ...

In this paper, a genetic algorithm and constriction factor based particle swarm optimization technique are proposed for solving the short term variable head hydrothermal scheduling problem with transmission line losses. The performance efficiency of the proposed techniques is demonstrated on hydrothermal test system comprising of two thermal units and two hydro power plants. the simulation resu...

This paper describes a method for scheduling large-scale hydrothermal power systems based on the shuffled complex evolution (SCE-UA) method. A multi-reservoir cascaded hydro-electric system with a non-linear relationship between water discharge rate, net head and power generation is considered. The water transport delay between connected reservoirs is also taken into account. SCE-UA is a succes...

The long-term hydrothermal scheduling (LTHS) problem seeks to obtain an operational policy that optimizes water resource management. most employed strategy such a is stochastic dual dynamic programming (SDDP). primary source of uncertainty in predominant hydropower systems the reservoirs inflow, usually linear time series model (TSM) based on order-p periodic autoregressive [PAR(p)] model. Alth...