Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems

Nyong Bassey Bassey Etim; Damian Giaouris; Athanasios I. Papadopoulos; Haris Patsios; Simira Papadopoulou; Spyros Voutetakis; Panos Seferlis; Sara Walker; Philip Taylor; Shady Gadoue

doi:10.1109/ISCAS.2018.8351732

Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems

Nyong Bassey Bassey Etim
, Damian Giaouris
, Athanasios I. Papadopoulos
, Haris Patsios
, Simira Papadopoulou
, Spyros Voutetakis
, Panos Seferlis
, Sara Walker
, Philip Taylor
, Shady Gadoue

Vice Chancellor's Office

Newcastle University
Centre for Research and Technology Hellas
Department of Automation Engineering ATEI
Aston University

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

6 Citations (SciVal)

Abstract

This work proposes a hierarchical control based power management strategy exploiting an adaptive Power Pinch analysis algorithm. The power pinch analysis is aided via the insight-based graphical power grand composite curve (PGCC) of the hybrid energy storage system's (HESS) model. This results in the identification of an optimal power management strategy (PMS), effected at the beginning of a control horizon on the HESS. However, a recent study showed that weather and load uncertainty distorts the desired shaped PGCC and consequently leads to the violation of the energy storage's state of charge operating set points. In this work in order to negate the effect of uncertainty, the current output state is utilized as a feedback control. The PGCC is shaped within a receding horizon model predictive control framework. The PGCC re-computation ensues only if the error variance, due to uncertainty, between the real and the estimated battery's state of charge (SOAccBAT) is greater than 5%. The proposed method is evaluated against the standard or Day-Ahead pinch analysis open loop strategy and shows a reduction in over discharging and overcharging of the battery and fossil fuel emission impact by 15%, 44.97%, and 8.8% respectively.

Original language	English
Title of host publication	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
Place of Publication	United States
Publisher	IEEE
DOIs	https://doi.org/10.1109/ISCAS.2018.8351732
Publication status	Published - 26 Apr 2018
Event	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy Duration: 27 May 2018 → 30 May 2018

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers (IEEE)

Conference

Conference	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
Country/Territory	Italy
City	Florence
Period	27/05/18 → 30/05/18

Bibliographical note

2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptive PMS
Adaptive Power Pinch
MPC
Power Grand composite curve
Smart Grid

Access to Document

10.1109/ISCAS.2018.8351732

Cite this

Etim, N. B. B., Giaouris, D., Papadopoulos, A. I., Patsios, H., Papadopoulou, S., Voutetakis, S., Seferlis, P., Walker, S., Taylor, P., & Gadoue, S. (2018). Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems. In 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings (Proceedings - IEEE International Symposium on Circuits and Systems). IEEE. https://doi.org/10.1109/ISCAS.2018.8351732

Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems. / Etim, Nyong Bassey Bassey; Giaouris, Damian; Papadopoulos, Athanasios I. et al.
2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings. United States: IEEE, 2018. (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Etim, NBB, Giaouris, D, Papadopoulos, AI, Patsios, H, Papadopoulou, S, Voutetakis, S, Seferlis, P, Walker, S, Taylor, P & Gadoue, S 2018, Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems. in 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings. Proceedings - IEEE International Symposium on Circuits and Systems, IEEE, United States, 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018, Florence, Italy, 27/05/18. https://doi.org/10.1109/ISCAS.2018.8351732

Etim NBB, Giaouris D, Papadopoulos AI, Patsios H, Papadopoulou S, Voutetakis S et al. Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems. In 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings. United States: IEEE. 2018. (Proceedings - IEEE International Symposium on Circuits and Systems). doi: 10.1109/ISCAS.2018.8351732

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abstract = "This work proposes a hierarchical control based power management strategy exploiting an adaptive Power Pinch analysis algorithm. The power pinch analysis is aided via the insight-based graphical power grand composite curve (PGCC) of the hybrid energy storage system's (HESS) model. This results in the identification of an optimal power management strategy (PMS), effected at the beginning of a control horizon on the HESS. However, a recent study showed that weather and load uncertainty distorts the desired shaped PGCC and consequently leads to the violation of the energy storage's state of charge operating set points. In this work in order to negate the effect of uncertainty, the current output state is utilized as a feedback control. The PGCC is shaped within a receding horizon model predictive control framework. The PGCC re-computation ensues only if the error variance, due to uncertainty, between the real and the estimated battery's state of charge (SOAccBAT) is greater than 5\%. The proposed method is evaluated against the standard or Day-Ahead pinch analysis open loop strategy and shows a reduction in over discharging and overcharging of the battery and fossil fuel emission impact by 15\%, 44.97\%, and 8.8\% respectively.",

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AU - Etim, Nyong Bassey Bassey

AU - Giaouris, Damian

AU - Papadopoulos, Athanasios I.

AU - Patsios, Haris

AU - Papadopoulou, Simira

AU - Voutetakis, Spyros

AU - Seferlis, Panos

AU - Walker, Sara

AU - Taylor, Philip

AU - Gadoue, Shady

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N2 - This work proposes a hierarchical control based power management strategy exploiting an adaptive Power Pinch analysis algorithm. The power pinch analysis is aided via the insight-based graphical power grand composite curve (PGCC) of the hybrid energy storage system's (HESS) model. This results in the identification of an optimal power management strategy (PMS), effected at the beginning of a control horizon on the HESS. However, a recent study showed that weather and load uncertainty distorts the desired shaped PGCC and consequently leads to the violation of the energy storage's state of charge operating set points. In this work in order to negate the effect of uncertainty, the current output state is utilized as a feedback control. The PGCC is shaped within a receding horizon model predictive control framework. The PGCC re-computation ensues only if the error variance, due to uncertainty, between the real and the estimated battery's state of charge (SOAccBAT) is greater than 5%. The proposed method is evaluated against the standard or Day-Ahead pinch analysis open loop strategy and shows a reduction in over discharging and overcharging of the battery and fossil fuel emission impact by 15%, 44.97%, and 8.8% respectively.

AB - This work proposes a hierarchical control based power management strategy exploiting an adaptive Power Pinch analysis algorithm. The power pinch analysis is aided via the insight-based graphical power grand composite curve (PGCC) of the hybrid energy storage system's (HESS) model. This results in the identification of an optimal power management strategy (PMS), effected at the beginning of a control horizon on the HESS. However, a recent study showed that weather and load uncertainty distorts the desired shaped PGCC and consequently leads to the violation of the energy storage's state of charge operating set points. In this work in order to negate the effect of uncertainty, the current output state is utilized as a feedback control. The PGCC is shaped within a receding horizon model predictive control framework. The PGCC re-computation ensues only if the error variance, due to uncertainty, between the real and the estimated battery's state of charge (SOAccBAT) is greater than 5%. The proposed method is evaluated against the standard or Day-Ahead pinch analysis open loop strategy and shows a reduction in over discharging and overcharging of the battery and fossil fuel emission impact by 15%, 44.97%, and 8.8% respectively.

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KW - Power Grand composite curve

KW - Smart Grid

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ER -

Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this