A Lightweight Energy Management Method for Hybrid PV/Battery/Load Systems
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866912230626295808 |
|---|---|
| author | Banaei, Mohsen Ebrahimy, Razgar Madsen, Henrik |
| author_facet | Banaei, Mohsen Ebrahimy, Razgar Madsen, Henrik |
| contents | In this paper, a computationally lightweight algorithm is introduced for hybrid PV/Battery/Load systems that is price responsive, responds fast, does not require powerful hardware, and considers the operational limitations of the system. The method is applied to two buildings equipped with PV and battery. Simulation results show that the method can give results that are up to 3.9% more expensive than the Model predictive control (MPC) approach while the runtime of the program is up to 1000 times less than the MPC. Also, while the runtime of the proposed method is in the range of the self-consumption maximization (SCM) approach as the fastest method, its electricity cost is about 3.2% cheaper than the SCM method. Simulation results also show that in case of providing grid services by the battery the difference between electricity cost of the proposed approach and MPC can reduce which makes the method good for such applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_05894 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Lightweight Energy Management Method for Hybrid PV/Battery/Load Systems Banaei, Mohsen Ebrahimy, Razgar Madsen, Henrik Systems and Control In this paper, a computationally lightweight algorithm is introduced for hybrid PV/Battery/Load systems that is price responsive, responds fast, does not require powerful hardware, and considers the operational limitations of the system. The method is applied to two buildings equipped with PV and battery. Simulation results show that the method can give results that are up to 3.9% more expensive than the Model predictive control (MPC) approach while the runtime of the program is up to 1000 times less than the MPC. Also, while the runtime of the proposed method is in the range of the self-consumption maximization (SCM) approach as the fastest method, its electricity cost is about 3.2% cheaper than the SCM method. Simulation results also show that in case of providing grid services by the battery the difference between electricity cost of the proposed approach and MPC can reduce which makes the method good for such applications. |
| title | A Lightweight Energy Management Method for Hybrid PV/Battery/Load Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2401.05894 |