A control model for dependable hydropower capacity optimization

A Simulation-Optimization Model For Capacity Coordination In Make To Stock/Make To Order Production Environments

Capacity coordination, as the tactical level of hierarchical production planning in hybrid MTS/MTO systems, includes numerous important decisions. In this paper, two of these decisions i.e. finding the best strategy for the acceptance/rejection of incoming orders and determining orders’ due dates – are investigated. Also a simulation model is proposed to evaluate the efficiency of the presented...

Capacity optimization of hydropower storage projects using particle swarm optimization algorithm

S. Jamshid Mousavi (corresponding author) M. Shourian Department of Civil Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran E-mail: [email protected] A mixed integer optimization model is formulated for capacity optimization of a hydropower storage project with control on reliability of meeting the project’s firm energy yield. Particle swarm optimization (PSO) i...

Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

Model-based predictive control (MPC) is one of the most efficient techniques that is widely used in industrial applications. In such controllers, increasing the prediction horizon results in better selection of the optimal control signal sequence. On the other hand, increasing the prediction horizon increase the computational time of the optimization process which make it impossible to be imple...

Nonlinear Predictive Control of a Hydropower System Model

A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected. A simple method to find an appropriate terminal penalty function is introduced and its effectiveness is proved. The input-to-state-stability of the cont...

A Stochastic Optimization Model for Groundwater Management