Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties

This paper proposes a temporally-coordinated operation method for a multi-energy microgrid under diverse uncertainties from renewable energy sources, power loads and electricity transaction prices between the microgrid and the utility grid. The method aims to coordinate multiple energies in differen...

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Main Authors: Li, Zhengmao, Xu, Yan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/151117
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1511172021-06-24T08:54:51Z Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties Li, Zhengmao Xu, Yan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Multi-energy Microgrid Temporally-coordinated Operation This paper proposes a temporally-coordinated operation method for a multi-energy microgrid under diverse uncertainties from renewable energy sources, power loads and electricity transaction prices between the microgrid and the utility grid. The method aims to coordinate multiple energies in different timescales considering distinct properties of thermal and power energy: the combined cooling heat and power plants, power-to-thermal conversion units and thermal storage tanks are dispatched hourly in the day-ahead operation stage; in the intra-day online operation stage, the battery storage units are dispatched to supplement the day-ahead operation decisions every 5 min after the uncertainties are realized. Based on constraints linearization and uncertain scenario generation/reduction, the problem is converted to a deterministic two-stage mixed-integer linear programming equivalent model which can be solved efficiently. Finally, the proposed method is verified on an IEEE 33 bus distribution network based multi-energy microgrid. Compared with the existing methods, the simulation results indicate that the proposed method can better coordinate multiple energies with low operating cost and high robustness. Energy Market Authority (EMA) Ministry of Education (MOE) Nanyang Technological University The work in this paper is supported in part by Singapore Energy Programme – Energy Storage Systems Test-Bed, and in part by Ministry of Education, Republic of Singapore, under grant AcRF TIER 1 2017-T1- 001-228 (RG92/17). The work of Yan Xu is also supported by the Nanyang Assistant Professorship from Nanyang Technological University, Singapore. 2021-06-24T08:54:51Z 2021-06-24T08:54:51Z 2019 Journal Article Li, Z. & Xu, Y. (2019). Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties. Applied Energy, 240, 719-729. https://dx.doi.org/10.1016/j.apenergy.2019.02.085 0306-2619 0000-0002-0503-183X https://hdl.handle.net/10356/151117 10.1016/j.apenergy.2019.02.085 2-s2.0-85061915716 240 719 729 en 2017-T1- 001-228 RG92/17 Applied Energy © 2019 Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Multi-energy Microgrid
Temporally-coordinated Operation
spellingShingle Engineering::Electrical and electronic engineering
Multi-energy Microgrid
Temporally-coordinated Operation
Li, Zhengmao
Xu, Yan
Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
description This paper proposes a temporally-coordinated operation method for a multi-energy microgrid under diverse uncertainties from renewable energy sources, power loads and electricity transaction prices between the microgrid and the utility grid. The method aims to coordinate multiple energies in different timescales considering distinct properties of thermal and power energy: the combined cooling heat and power plants, power-to-thermal conversion units and thermal storage tanks are dispatched hourly in the day-ahead operation stage; in the intra-day online operation stage, the battery storage units are dispatched to supplement the day-ahead operation decisions every 5 min after the uncertainties are realized. Based on constraints linearization and uncertain scenario generation/reduction, the problem is converted to a deterministic two-stage mixed-integer linear programming equivalent model which can be solved efficiently. Finally, the proposed method is verified on an IEEE 33 bus distribution network based multi-energy microgrid. Compared with the existing methods, the simulation results indicate that the proposed method can better coordinate multiple energies with low operating cost and high robustness.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Li, Zhengmao
Xu, Yan
format Article
author Li, Zhengmao
Xu, Yan
author_sort Li, Zhengmao
title Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
title_short Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
title_full Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
title_fullStr Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
title_full_unstemmed Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
title_sort temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties
publishDate 2021
url https://hdl.handle.net/10356/151117
_version_ 1703971167971311616