A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Abstract Artificial bee colony optimization is applied to determine the optimal hourly schedule of power generation in a hydrothermal system. Artificial bee colony optimization is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The algorithm is tested on a multi-reservoir cascaded hydroelectric system having prohibited operating zones and thermal units with valve point loading. The ramp-rate limits of thermal generators are taken into consideration. The transmission losses are also accounted for through the use of loss coefficients. The algorithm is tested on two hydrothermal multi-reservoir cascaded hydroelectric test systems. The results of the proposed approach are compared with those of differential evolution, evolutionary programming and particle swarm optimization. From numerical results, it is found that the proposed artificial bee colony optimization based approach is able to provide better solution.
Abstract Artificial bee colony optimization is applied to determine the optimal hourly schedule of power generation in a hydrothermal system. Artificial bee colony optimization is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The algorithm is tested on a multi-reservoir cascaded hydroelectric system having prohibited operating zones and thermal units with valve point loading. The ramp-rate limits of thermal generators are taken into consideration. The transmission losses are also accounted for through the use of loss coefficients. The algorithm is tested on two hydrothermal multi-reservoir cascaded hydroelectric test systems. The results of the proposed approach are compared with those of differential evolution, evolutionary programming and particle swarm optimization. From numerical results, it is found that the proposed artificial bee colony optimization based approach is able to provide better solution.
Artificial Bee Colony Optimization for Short-Term Hydrothermal Scheduling
Basu, M. (author)
Journal of The Institution of Engineers (India): Series B ; 95 ; 319-328
2014-07-09
10 pages
Article (Journal)
Electronic Resource
English
Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents
| Online Contents | 2010
Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents
| British Library Online Contents | 2010
CONSTRUCTION SCHEDULING WITH ARTIFICIAL AGENTS AND THE ANT COLONY OPTIMIZATION METAHEURISTIC
| British Library Conference Proceedings | 2005
Ant Colony Optimization in Construction Scheduling
| British Library Conference Proceedings | 2005
A Rigid Cuckoo Search Algorithm for Solving Short-Term Hydrothermal Scheduling Problem
| DOAJ | 2021