Weighted sum approach using Parallel Particle Swarm Optimization to Solve Multi-objective Energy Scheduling
This paper presents a Particle Swarm Optimization (PSO) methodology to solve the problem of energy resource management with high penetration of Distributed Generation (DG) and Electric Vehicles (EVs), based in multi-objective optimization. The high penetration of unpredictable DG, results in the inc...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/10086 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/10086 |