Utilization of a receding horizon optimization strategy in batch plants short term scheduling problems

1997 ◽  
Author(s):  
L. Gimeno ◽  
M. T. M. Rodrigues ◽  
C. A. S. Passos
Keyword(s):  
Scheduling Problems ◽  
Optimization Strategy ◽  
Short Term ◽  
Receding Horizon ◽  
Batch Plants

Production Planning Using Time Windows for Short-Term Multipurpose Batch Plants Scheduling Problems

2000 ◽  
Vol 39 (10) ◽  
pp. 3823-3834 ◽  
Author(s):  
Maria Teresa M. Rodrigues ◽  
Luis G. Latre ◽  
Luiz Carlos A. Rodrigues
Keyword(s):  
Production Planning ◽  
Time Windows ◽  
Scheduling Problems ◽  
Short Term ◽  
Batch Plants

scholarly journals Hybrid ABC-BAT for Solving Short-Term Hydrothermal Scheduling Problems

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 551 ◽  
Author(s):  
Smarajit Ghosh ◽  
Manvir Kaur ◽  
Suman Bhullar ◽  
Vinod Karar
Keyword(s):  
Hybrid Algorithm ◽  
Artificial Bee Colony ◽  
Optimal Allocation ◽  
Bat Algorithm ◽  
Scheduling Problems ◽  
Short Term ◽  
Hydrothermal Scheduling ◽  
Hybrid Techniques ◽  
Bee Colony ◽  
The Cost

The main objective of short-term hydrothermal scheduling is the optimal allocation of the hydro and thermal generating units, so that the total cost of thermal plants can be minimized. The time of operation of the functioning units are considered to be 24 h. To achieve this objective, the hybrid algorithm combination of Artificial Bee Colony (ABC) and the BAT algorithm were applied. The swarming behavior of the algorithm searches the food source for which the objective function of the cost is to be considered; here, we have used two search algorithms, one to optimize the cost function, and another to improve the performance of the system. In the present work, the optimum scheduling of hydro and thermal units is proposed, where these units are acting as a relay unit. The short term hydrothermal scheduling problem was tested in a Chilean system, and confirmed by comparison with other hybrid techniques such as Artificial Bee Colony–Quantum Evolutionary and Artificial Bee Colony–Particle Swarm Optimization. The efficiency of the proposed hybrid algorithm is established by comparing it to these two hybrid algorithms.

Continuous-Time Models for Short-Term Scheduling of Multipurpose Batch Plants:  A Comparative Study

2006 ◽  
Vol 45 (18) ◽  
pp. 6190-6209 ◽  
Author(s):  
Munawar A. Shaik ◽  
Stacy L. Janak ◽  
Christodoulos A. Floudas
Keyword(s):  
Comparative Study ◽  
Continuous Time ◽  
Short Term ◽  
Batch Plants ◽  
Continuous Time Models
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