Abstract
We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.
| Original language | English |
|---|---|
| Pages (from-to) | 798-813 |
| Number of pages | 16 |
| Journal | Energy |
| Volume | 114 |
| DOIs | |
| Publication status | Published - 1 Nov 2016 |
| Externally published | Yes |
Keywords
- Distributed generation and storage (DGS)
- Energy storage
- Microgrid
- Multi-energy systems (MES)
- Nanogrid
- Polygeneration
- Smart grid
Cite this
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A generic framework for distributed multi-generation and multi-storage energy systems. / Khalilpour, Kaveh Rajab; Vassallo, Anthony.
In: Energy, Vol. 114, 01.11.2016, p. 798-813.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - A generic framework for distributed multi-generation and multi-storage energy systems
AU - Khalilpour, Kaveh Rajab
AU - Vassallo, Anthony
PY - 2016/11/1
Y1 - 2016/11/1
N2 - We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.
AB - We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.
KW - Distributed generation and storage (DGS)
KW - Energy storage
KW - Microgrid
KW - Multi-energy systems (MES)
KW - Nanogrid
KW - Polygeneration
KW - Smart grid
UR - http://www.scopus.com/inward/record.url?scp=84983507831&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2016.08.029
DO - 10.1016/j.energy.2016.08.029
M3 - Article
VL - 114
SP - 798
EP - 813
JO - Energy
JF - Energy
SN - 0360-5442
ER -