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Lookup NU author(s): Dr Damian Giaouris,
Dr Haris Patsios
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
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.
Author(s): Nyong-Bassey BE, Giaouris D, Patsios H, Gadoue S, Papadopoulos AI, Seferlis P, Voutetakis S, Papadopoulou S
Publication type: Article
Publication status: Published
Journal: The Journal of Engineering
Print publication date: 17/06/2019
Online publication date: 04/04/2019
Acceptance date: 31/07/2018
Date deposited: 22/01/2020
ISSN (print): 2051-3305
Publisher: The Institution of Engineering and Technology
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