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

Chemical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 (SOAcc_BAT) 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)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9781538648810
ISBN (Print)	9781538648827 (PoD)
DOIs	https://doi.org/10.1109/ISCAS.2018.8351732
Publication status	Published - 4 May 2018
Event	2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy Duration: 27 May 2018 → 30 May 2018

Publication series

Name	IEEE International Symposium on Circuits and Systems proceedings
Publisher	IEEE
ISSN (Print)	0271-4302
ISSN (Electronic)	2158-1525

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

Publisher Copyright:
© 2018 IEEE.

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

ASJC Scopus subject areas

Electrical and Electronic Engineering

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) Article 8351732 (IEEE International Symposium on Circuits and Systems proceedings). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISCAS.2018.8351732

@inproceedings{d98b19185c704ce1b55de4efd109364d,

title = "Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems",

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.",

keywords = "Adaptive PMS, Adaptive Power Pinch, MPC, Power Grand composite curve, Smart Grid",

author = "Etim, \{Nyong Bassey Bassey\} and Damian Giaouris and Papadopoulos, \{Athanasios I.\} and Haris Patsios and Simira Papadopoulou and Spyros Voutetakis and Panos Seferlis and Sara Walker and Philip Taylor and Shady Gadoue",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 ; Conference date: 27-05-2018 Through 30-05-2018",

year = "2018",

month = may,

day = "4",

doi = "10.1109/ISCAS.2018.8351732",

language = "English",

isbn = "9781538648827 (PoD)",

series = "IEEE International Symposium on Circuits and Systems proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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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)., 8351732, IEEE International Symposium on Circuits and Systems proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018, Florence, Italy, 27/05/18. 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). Institute of Electrical and Electronics Engineers (IEEE), 2018. 8351732 (IEEE International Symposium on Circuits and Systems proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems

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

PY - 2018/5/4

Y1 - 2018/5/4

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.

KW - Adaptive PMS

KW - Adaptive Power Pinch

KW - MPC

KW - Power Grand composite curve

KW - Smart Grid

UR - https://www.scopus.com/pages/publications/85057123043

U2 - 10.1109/ISCAS.2018.8351732

DO - 10.1109/ISCAS.2018.8351732

M3 - Conference contribution

AN - SCOPUS:85057123043

SN - 9781538648827 (PoD)

T3 - IEEE International Symposium on Circuits and Systems proceedings

BT - 2018 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018

Y2 - 27 May 2018 through 30 May 2018

ER -

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). Institute of Electrical and Electronics Engineers (IEEE). 2018. 8351732. (IEEE International Symposium on Circuits and Systems proceedings). doi: 10.1109/ISCAS.2018.8351732

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this