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...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151117 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-151117 |
---|---|
record_format |
dspace |
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 |