Enhanced real-time scheduling algorithm for energy management in a renewable-integrated microgrid
The day-ahead energy management scheme (EMS) of a microgrid faces different uncertainties due to the inaccuracy of predictions. Moreover, offline EMS assumes that renewable generation and load demand predictions are perfect, which is practically difficult to achieve. Although real-time EMS (RT-EMS)...
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| Published in: | Applied energy Vol. 304; p. 117658 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
15.12.2021
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | The day-ahead energy management scheme (EMS) of a microgrid faces different uncertainties due to the inaccuracy of predictions. Moreover, offline EMS assumes that renewable generation and load demand predictions are perfect, which is practically difficult to achieve. Although real-time EMS (RT-EMS) can overcome these uncertainties by employing online measurements, utilization of storage units in RT-EMS needs further investigation because the solution does not achieve the global optimal. In this study, a multi-objective RT-EMS is proposed by considering the costs and life cycle environmental impacts of energy sources. The suggested RT-EMS is designed using Lyapunov optimization method and then enhanced through the proposed adaptive utilization of the storage units. The charging and discharging of the storage units are scheduled adaptive to the time-of-use market price, resulting in lower environmental impacts because the life cycle environmental impact of energy storage is significant. Therefore, the proposed RT-EMS is a multi-objective problem, and a Pareto front is derived from compromising between the operational cost and the environmental impacts. The proposed market price-based RT-EMS is evaluated using numerical studies on the modified IEEE 33-bus test system and real-world data.
•A multi-objective economic-environmental real-time energy management system is proposed.•Environmental impacts of energy sources are considered in the proposed energy scheduling problem•Online optimization is modeled using the Lyapunov technique with the Variable V method.•Adaptive use of distributed energy storage units is proposed based on the time-of-use electricity price.•Environmental impacts and operational costs are enhanced by the adaptive use of energy storage units. |
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| AbstractList | The day-ahead energy management scheme (EMS) of a microgrid faces different uncertainties due to the inaccuracy of predictions. Moreover, offline EMS assumes that renewable generation and load demand predictions are perfect, which is practically difficult to achieve. Although real-time EMS (RT-EMS) can overcome these uncertainties by employing online measurements, utilization of storage units in RT-EMS needs further investigation because the solution does not achieve the global optimal. In this study, a multi-objective RT-EMS is proposed by considering the costs and life cycle environmental impacts of energy sources. The suggested RT-EMS is designed using Lyapunov optimization method and then enhanced through the proposed adaptive utilization of the storage units. The charging and discharging of the storage units are scheduled adaptive to the time-of-use market price, resulting in lower environmental impacts because the life cycle environmental impact of energy storage is significant. Therefore, the proposed RT-EMS is a multi-objective problem, and a Pareto front is derived from compromising between the operational cost and the environmental impacts. The proposed market price-based RT-EMS is evaluated using numerical studies on the modified IEEE 33-bus test system and real-world data. The day-ahead energy management scheme (EMS) of a microgrid faces different uncertainties due to the inaccuracy of predictions. Moreover, offline EMS assumes that renewable generation and load demand predictions are perfect, which is practically difficult to achieve. Although real-time EMS (RT-EMS) can overcome these uncertainties by employing online measurements, utilization of storage units in RT-EMS needs further investigation because the solution does not achieve the global optimal. In this study, a multi-objective RT-EMS is proposed by considering the costs and life cycle environmental impacts of energy sources. The suggested RT-EMS is designed using Lyapunov optimization method and then enhanced through the proposed adaptive utilization of the storage units. The charging and discharging of the storage units are scheduled adaptive to the time-of-use market price, resulting in lower environmental impacts because the life cycle environmental impact of energy storage is significant. Therefore, the proposed RT-EMS is a multi-objective problem, and a Pareto front is derived from compromising between the operational cost and the environmental impacts. The proposed market price-based RT-EMS is evaluated using numerical studies on the modified IEEE 33-bus test system and real-world data. •A multi-objective economic-environmental real-time energy management system is proposed.•Environmental impacts of energy sources are considered in the proposed energy scheduling problem•Online optimization is modeled using the Lyapunov technique with the Variable V method.•Adaptive use of distributed energy storage units is proposed based on the time-of-use electricity price.•Environmental impacts and operational costs are enhanced by the adaptive use of energy storage units. |
| ArticleNumber | 117658 |
| Author | Hewage, Kasun Zeinal-Kheiri, Sevda Mohammadpour Shotorbani, Amin Chhipi-Shrestha, Gyan Mohammadi-Ivatloo, Behnam Sadiq, Rehan |
| Author_xml | – sequence: 1 givenname: Amin orcidid: 0000-0002-9975-3699 surname: Mohammadpour Shotorbani fullname: Mohammadpour Shotorbani, Amin organization: School of Engineering, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada – sequence: 2 givenname: Sevda surname: Zeinal-Kheiri fullname: Zeinal-Kheiri, Sevda organization: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 3 givenname: Gyan surname: Chhipi-Shrestha fullname: Chhipi-Shrestha, Gyan organization: School of Engineering, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada – sequence: 4 givenname: Behnam surname: Mohammadi-Ivatloo fullname: Mohammadi-Ivatloo, Behnam email: mohammadi@ieee.org organization: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran – sequence: 5 givenname: Rehan surname: Sadiq fullname: Sadiq, Rehan organization: School of Engineering, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada – sequence: 6 givenname: Kasun surname: Hewage fullname: Hewage, Kasun organization: School of Engineering, University of British Columbia, Okanagan Campus, Kelowna, BC, Canada |
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| Keywords | RES RT-EMS PV TbRT-EMS CDG Environmental impacts Real-time optimization EMS LCA LOM Time-of-use price rates EV DES STSO ToU WT Energy management Energy storage |
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| Title | Enhanced real-time scheduling algorithm for energy management in a renewable-integrated microgrid |
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