Multi-objective optimal dispatch of CCHP system considering exergy loss and economic cost
| Autor: | Ke Chen, Junli Zhang, Weipeng Zhong, Huifeng Ruan, Xinming Yan, Tianlin Jiang, Bo Wang, Yiguo Li, Gang Wei, Wenguang Zheng, Chang Liu, Yuhao Zhou, Ying Ma |
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| Rok vydání: | 2020 |
| Předmět: |
Exergy
Mathematical optimization Mathematical model Computer science 020209 energy 010401 analytical chemistry Particle swarm optimization 02 engineering and technology 01 natural sciences 0104 chemical sciences Power (physics) Economic cost Waste heat 0202 electrical engineering electronic engineering information engineering Energy supply Efficient energy use |
| Zdroj: | 2020 Chinese Automation Congress (CAC). |
| DOI: | 10.1109/cac51589.2020.9327349 |
| Popis: | Distributed combined cooling heating and power (CCHP) system develops as a novel energy supply way which achieves energy cascading utilization and increases the energy efficiency. In this study, mathematical models of a typical CCHP system considering both exergy loss and economic cost of each equipment are established. Multi-objective optimization is also conducted to optimize economic cost and exergy loss simultaneously by multi-objective particle swarm optimization (MOPSO) algorithm. The optimal solution is selected by grey decision-making approach. Compared with the conventional economic dispatching, the results indicate the proposed multi-objective dispatch is more efficient in a way. |
| Databáze: | OpenAIRE |
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