Conference item
Energy management of a microgrid: compensating for the difference between the real and predicted output power of photovoltaics
- Abstract:
- An increasing awareness of energy efficiency has led to the development of several improved converter topologies, semiconductor devices and control schemes for distributed energy resources, and, particularly, for microgrids. Recent advances in energy management systems (EMS) for microgrids have improved upon existing methods in several aspects, including prediction of power generated by photovoltaics (PV), and optimal management of electrical energy storage. However, the actual generated PV power may deviate from predictions for several reasons, such as rapid cloud changes or system faults. This paper contributes to the ongoing research on EMS control schemes by proposing a model predictive control (MPC) scheme that adapts to the difference between the actual and predicted output power of PV. The key benefit of this approach is its ability to rapidly adapt to varying operating conditions of the PV without increasing the computational burden of a typical MPC scheme. The feasibility of the scheme is demonstrated using simulations of 5 kW microgrid system compromising a 5 kW/400 Ah battery, 10 kW PV and 5 kW grid/load connection. The proposed scheme reduces variations in the state of charge (SOC) of a battery. The proposed scheme also reduces the energy taken from grid and this improvement in performance is a function of the difference between the actual and the predicted power.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 633.3KB, Terms of use)
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- Publisher copy:
- 10.1109/PEDG.2016.7527042
Authors
- Publisher:
- Institute of Electrical and Electronics Engineers
- Host title:
- 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
- Journal:
- 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) More from this journal
- Publication date:
- 2016-08-01
- Acceptance date:
- 2016-03-30
- DOI:
- EISSN:
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2329-5767
- Keywords:
- Pubs id:
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pubs:625121
- UUID:
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uuid:f33bafef-ce36-4ffd-b0c3-89c6b992d108
- Local pid:
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pubs:625121
- Source identifiers:
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625121
- Deposit date:
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2016-06-02
- ARK identifier:
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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