Hydrothermal scheduling problem using evolutionary algorithms
This report presents the different variants of differential evolution algorithms like SHADE, L-SHADE, L-SHADE Sinusoidal and Local Search for solving the hydrothermal scheduling problem. In this dissertation, the most effective algorithm which is L-SHADE sinusoidal will be used to solve the hydr...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/70824 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This report presents the different variants of differential evolution algorithms like
SHADE, L-SHADE, L-SHADE Sinusoidal and Local Search for solving the
hydrothermal scheduling problem.
In this dissertation, the most effective algorithm which is L-SHADE sinusoidal will
be used to solve the hydrothermal scheduling with the consideration of nonlinearities
like valve point loading of the thermal unit and prohibited operating zone of hydro
units.
The proposed algorithm has been tested on the multi-chain test system having four
hydro units and one thermal unit. The experimental results are compared with the
results reported in IEEE-Congress on Evolutionary Computation (CEC) 2011
competition problems who uses the genetic algorithm with a new Multi-Parent
Crossover (MPC) and the implementation of the proposed algorithm is found
effective. |
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