Abstract
This paper proposes a probabilistic power pinch analysis (PoPA) approach based on Monte–Carlo simulation (MCS)
for energy management of hybrid energy systems uncertainty. The systems power grand composite curve is formulated with the
chance constraint method to consider load stochasticity. In a predictive control horizon, the power grand composite curve is
shaped based on the pinch analysis approach. The robust energy management strategy effected in a control horizon is inferred
from the likelihood of a bounded predicted power grand composite curve, violating the pinch. Furthermore, the response of the
system using the energy management strategies (EMS) of the proposed method is evaluated against the day-ahead (DA) and
adaptive power pinch strategy.
for energy management of hybrid energy systems uncertainty. The systems power grand composite curve is formulated with the
chance constraint method to consider load stochasticity. In a predictive control horizon, the power grand composite curve is
shaped based on the pinch analysis approach. The robust energy management strategy effected in a control horizon is inferred
from the likelihood of a bounded predicted power grand composite curve, violating the pinch. Furthermore, the response of the
system using the energy management strategies (EMS) of the proposed method is evaluated against the day-ahead (DA) and
adaptive power pinch strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 4288-4292 |
| Journal | The Journal of Engineering |
| Volume | 2019 |
| Issue number | 17 |
| Early online date | 4 Apr 2019 |
| DOIs | |
| Publication status | Published - 17 Jun 2019 |
Bibliographical note
This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License(http://creativecommons.org/licenses/by-nc-nd/3.0/)