Abstract
With the changes introduced by the transition towards sustainable energy supply, major concerns like energy efficiency and system resilience can be handled by integrating adequate energy storage with renewable energy sources to realize net-zero energy in the neighbourhoods. In this paper, the neighbourhood surrounding VU medical center and university campus in Amsterdam, is selected as a case study to understand the impact of battery storage and photovoltaic generation in achieving the goal of energy neutrality. An optimization method is developed to identify the optimal size of battery storage by minimizing the net import energy from the grid. The proposed algorithm consists of two stages. The first stage uses mixed integer linear programming (MILP) to find the minimum cost associated with net import energy from the grid and the associated cost of a particular battery. The second stage applies heuristic search approach to identify the optimal size of the battery, which contributes to the most economical dispatch. The simulation results of the case study validate the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5386-4505-5 |
| ISBN (Print) | 978-1-5386-4506-2 |
| DOIs | |
| Publication status | Published - 10 Dec 2018 |
| Event | 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 - Sarajevo, Bosnia and Herzegovina Duration: 21 Oct 2018 → 25 Oct 2018 |
Conference
| Conference | 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 |
|---|---|
| Country | Bosnia and Herzegovina |
| City | Sarajevo |
| Period | 21/10/18 → 25/10/18 |
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Keywords
- battery
- capacity
- nearly Zero Energy Buildings (nZEB) Neighbourhood
- optimization
- sizing
- storage
Cite this
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A heuristic search approach for sizing battery storage of a neighbourhood including nearly Zero Energy Buildings (nZEB). / Shafiullah, D. S.; Vo, T. H.; Nguyen, P. H.
Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2018. 8571488.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - A heuristic search approach for sizing battery storage of a neighbourhood including nearly Zero Energy Buildings (nZEB)
AU - Shafiullah, D. S.
AU - Vo, T. H.
AU - Nguyen, P. H.
PY - 2018/12/10
Y1 - 2018/12/10
N2 - With the changes introduced by the transition towards sustainable energy supply, major concerns like energy efficiency and system resilience can be handled by integrating adequate energy storage with renewable energy sources to realize net-zero energy in the neighbourhoods. In this paper, the neighbourhood surrounding VU medical center and university campus in Amsterdam, is selected as a case study to understand the impact of battery storage and photovoltaic generation in achieving the goal of energy neutrality. An optimization method is developed to identify the optimal size of battery storage by minimizing the net import energy from the grid. The proposed algorithm consists of two stages. The first stage uses mixed integer linear programming (MILP) to find the minimum cost associated with net import energy from the grid and the associated cost of a particular battery. The second stage applies heuristic search approach to identify the optimal size of the battery, which contributes to the most economical dispatch. The simulation results of the case study validate the proposed approach.
AB - With the changes introduced by the transition towards sustainable energy supply, major concerns like energy efficiency and system resilience can be handled by integrating adequate energy storage with renewable energy sources to realize net-zero energy in the neighbourhoods. In this paper, the neighbourhood surrounding VU medical center and university campus in Amsterdam, is selected as a case study to understand the impact of battery storage and photovoltaic generation in achieving the goal of energy neutrality. An optimization method is developed to identify the optimal size of battery storage by minimizing the net import energy from the grid. The proposed algorithm consists of two stages. The first stage uses mixed integer linear programming (MILP) to find the minimum cost associated with net import energy from the grid and the associated cost of a particular battery. The second stage applies heuristic search approach to identify the optimal size of the battery, which contributes to the most economical dispatch. The simulation results of the case study validate the proposed approach.
KW - battery
KW - capacity
KW - nearly Zero Energy Buildings (nZEB) Neighbourhood
KW - optimization
KW - sizing
KW - storage
UR - http://www.scopus.com/inward/record.url?scp=85060232644&partnerID=8YFLogxK
U2 - 10.1109/ISGTEurope.2018.8571488
DO - 10.1109/ISGTEurope.2018.8571488
M3 - Conference contribution
AN - SCOPUS:85060232644
SN - 978-1-5386-4506-2
BT - Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
PB - Institute of Electrical and Electronics Engineers
CY - Piscataway
ER -