Abstract
In this paper, an intelligent energy management system based on energy saving and user’s comfort is introduced and applied to a residential smart home as a case study. The proposed multi-objective mixed-integer nonlinear programming (MINLP)-based architecture takes the advantages of several key modeling aspects such as load shifting capability and domestic energy micro-generation characteristics. To demonstrate the efficiency and robustness of the proposed model, several computer simulations are carried out under different operating scenarios with real data and different system constraints. Moreover, the superior performance of the proposed energy management system is shown in comparison with the conventional models. The numerical results also indicate that through wise management of demand and generation sides, there is a possibility to reduce domestic energy use and improve the user’s satisfaction degree.
Original language | English |
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Title of host publication | Proceedings of the 2015 IEEE Industrial Electronics Society (IECON) |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | Nov 2015 |
Pages | 000096 - 000101 |
ISBN (Electronic) | 978-1-4799-1762-4 |
DOIs | |
Publication status | Published - Nov 2015 |
Event | 41st Annual Conference of the IEEE Industrial Electronics Society - Yokohama, Japan Duration: 9 Nov 2015 → 12 Nov 2015 |
Conference
Conference | 41st Annual Conference of the IEEE Industrial Electronics Society |
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Country/Territory | Japan |
City | Yokohama |
Period | 09/11/2015 → 12/11/2015 |
Keywords
- Energy efficiency
- Micro-generation systems
- Multi-objective optimization
- Demand side management