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This final project presents application of Multi-Objective Particle Swarm Optimization (MOPSO) technique for solving Multi-Objective Optimal Power Flow (MOOPF) problem. MOOPF problem is formulated as a multi-objective optimization one with three competing functions, they are fuel cost function, loss...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/13486 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | This final project presents application of Multi-Objective Particle Swarm Optimization (MOPSO) technique for solving Multi-Objective Optimal Power Flow (MOOPF) problem. MOOPF problem is formulated as a multi-objective optimization one with three competing functions, they are fuel cost function, losses function, and emission function, subject to several constraints. The constraints is consist of the inequality ones and the equality one. The inequality constraints are generating unit capacity limit, bus voltage limit, and transmission capacity limit, while the equality constraint is generation demand balance. |
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