Dynamic Energy Storage and Control Management

Hailing Zhu; Khmaies Ouahada

doi:10.1109/AFRICON46755.2019.9133889

Dynamic Energy Storage and Control Management

Hailing Zhu
, Khmaies Ouahada

Electrical and Electronic Engineering Science

University of Johannesburg

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

Abstract

In this paper, the problem of dynamic energy management for power consumers with renewable energy generators and energy storage devices is studied. The objective of such a power consumer is to minimize its long term time-averaged cost by jointly taking into account the operational constraints of its energy storage device, its stochastic solar power generation and time-varying load, as well as the fluctuating electricity prices. We formulate this energy management problem as a constrained stochastic programming problem. A real-time control algorithm is designed based on the Lyapunov optimization theory to provide an asymptotically optimal solution that can quickly adapt to the system dynamics without requiring any statistics of the system. The performance of the proposed real-time control algorithm is evaluated via both theoretical analysis and numerical simulations. By comparing with a greedy algorithm, it is shown that the proposed control algorithm can save power consumption cost while improving the utilization of renewable energy generation.

Original language	English
Title of host publication	IEEE AFRICON 2019
Subtitle of host publication	Powering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728132891
DOIs	https://doi.org/10.1109/AFRICON46755.2019.9133889
Publication status	Published - Sept 2019
Event	2019 IEEE AFRICON, AFRICON 2019 - Accra, Ghana Duration: 25 Sept 2019 → 27 Sept 2019

Publication series

Name	IEEE AFRICON Conference
Volume	2019-September
ISSN (Print)	2153-0025
ISSN (Electronic)	2153-0033

Conference

Conference	2019 IEEE AFRICON, AFRICON 2019
Country/Territory	Ghana
City	Accra
Period	25/09/19 → 27/09/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy Management
Energy Storage Sharing
Lyapunov Optimization
Microgrids
Stochastic System

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/AFRICON46755.2019.9133889

Cite this

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title = "Dynamic Energy Storage and Control Management",

abstract = "In this paper, the problem of dynamic energy management for power consumers with renewable energy generators and energy storage devices is studied. The objective of such a power consumer is to minimize its long term time-averaged cost by jointly taking into account the operational constraints of its energy storage device, its stochastic solar power generation and time-varying load, as well as the fluctuating electricity prices. We formulate this energy management problem as a constrained stochastic programming problem. A real-time control algorithm is designed based on the Lyapunov optimization theory to provide an asymptotically optimal solution that can quickly adapt to the system dynamics without requiring any statistics of the system. The performance of the proposed real-time control algorithm is evaluated via both theoretical analysis and numerical simulations. By comparing with a greedy algorithm, it is shown that the proposed control algorithm can save power consumption cost while improving the utilization of renewable energy generation.",

keywords = "Energy Management, Energy Storage Sharing, Lyapunov Optimization, Microgrids, Stochastic System",

author = "Hailing Zhu and Khmaies Ouahada",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE AFRICON, AFRICON 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/AFRICON46755.2019.9133889",

language = "English",

series = "IEEE AFRICON Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE AFRICON 2019",

address = "United States",

}

Zhu, H & Ouahada, K 2019, Dynamic Energy Storage and Control Management. in IEEE AFRICON 2019: Powering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019., 9133889, IEEE AFRICON Conference, vol. 2019-September, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE AFRICON, AFRICON 2019, Accra, Ghana, 25/09/19. https://doi.org/10.1109/AFRICON46755.2019.9133889

Dynamic Energy Storage and Control Management. / Zhu, Hailing; Ouahada, Khmaies.
IEEE AFRICON 2019: Powering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9133889 (IEEE AFRICON Conference; Vol. 2019-September).

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

TY - GEN

T1 - Dynamic Energy Storage and Control Management

AU - Zhu, Hailing

AU - Ouahada, Khmaies

PY - 2019/9

Y1 - 2019/9

N2 - In this paper, the problem of dynamic energy management for power consumers with renewable energy generators and energy storage devices is studied. The objective of such a power consumer is to minimize its long term time-averaged cost by jointly taking into account the operational constraints of its energy storage device, its stochastic solar power generation and time-varying load, as well as the fluctuating electricity prices. We formulate this energy management problem as a constrained stochastic programming problem. A real-time control algorithm is designed based on the Lyapunov optimization theory to provide an asymptotically optimal solution that can quickly adapt to the system dynamics without requiring any statistics of the system. The performance of the proposed real-time control algorithm is evaluated via both theoretical analysis and numerical simulations. By comparing with a greedy algorithm, it is shown that the proposed control algorithm can save power consumption cost while improving the utilization of renewable energy generation.

AB - In this paper, the problem of dynamic energy management for power consumers with renewable energy generators and energy storage devices is studied. The objective of such a power consumer is to minimize its long term time-averaged cost by jointly taking into account the operational constraints of its energy storage device, its stochastic solar power generation and time-varying load, as well as the fluctuating electricity prices. We formulate this energy management problem as a constrained stochastic programming problem. A real-time control algorithm is designed based on the Lyapunov optimization theory to provide an asymptotically optimal solution that can quickly adapt to the system dynamics without requiring any statistics of the system. The performance of the proposed real-time control algorithm is evaluated via both theoretical analysis and numerical simulations. By comparing with a greedy algorithm, it is shown that the proposed control algorithm can save power consumption cost while improving the utilization of renewable energy generation.

KW - Energy Management

KW - Energy Storage Sharing

KW - Lyapunov Optimization

KW - Microgrids

KW - Stochastic System

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U2 - 10.1109/AFRICON46755.2019.9133889

DO - 10.1109/AFRICON46755.2019.9133889

M3 - Conference contribution

AN - SCOPUS:85088368926

T3 - IEEE AFRICON Conference

BT - IEEE AFRICON 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE AFRICON, AFRICON 2019

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ER -

Dynamic Energy Storage and Control Management

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this