Optimal energy management of unbalanced three-phase grid-connected microgrids

Juan S. Giraldo; Jhon A. Castrillon; Carlos A. Castro; Federico Milano

doi:10.1109/PTC.2019.8810498

Optimal energy management of unbalanced three-phase grid-connected microgrids

Juan S. Giraldo, Jhon A. Castrillon, Carlos A. Castro, Federico Milano

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

3 Citations (Scopus)

40 Downloads (Pure)

Abstract

This paper presents a non-linear optimization problem based on nodal current injections to solve the optimal energy management of unbalanced, three-phase, grid-connected microgrids. The focus is on the modelling of small synchronous machines under unbalanced operation. Inverter-interfaced distributed energy resources, i.e., renewable sources and energy storage systems, are also considered and described. The proposed formulation minimizes the cost of the energy consumed by the microgrid while satisfying active and reactive power balances, the devices operational constraints, as well as current and voltage operational limits. The proposed model is tested using the IEEE 123 node test feeder and compared to commonly used formulations. Simulation results show the impact of unbalanced models on the energy management of three-phase microgrids.

Original language	English
Title of host publication	2019 IEEE Milan PowerTech, PowerTech 2019
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5386-4722-6
DOIs	https://doi.org/10.1109/PTC.2019.8810498
Publication status	Published - Jun 2019
Externally published	Yes
Event	2019 IEEE PowerTech Milan - Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019

Conference

Conference	2019 IEEE PowerTech Milan
Abbreviated title	PowerTech 2019
Country/Territory	Italy
City	Milan
Period	23/06/19 → 27/06/19

Keywords

Optimal energy management
Renewable energy sources
Unbalanced generator model
Unbalanced microgrid

UN SDGs

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

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10.1109/PTC.2019.8810498

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Cite this

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title = "Optimal energy management of unbalanced three-phase grid-connected microgrids",

abstract = "This paper presents a non-linear optimization problem based on nodal current injections to solve the optimal energy management of unbalanced, three-phase, grid-connected microgrids. The focus is on the modelling of small synchronous machines under unbalanced operation. Inverter-interfaced distributed energy resources, i.e., renewable sources and energy storage systems, are also considered and described. The proposed formulation minimizes the cost of the energy consumed by the microgrid while satisfying active and reactive power balances, the devices operational constraints, as well as current and voltage operational limits. The proposed model is tested using the IEEE 123 node test feeder and compared to commonly used formulations. Simulation results show the impact of unbalanced models on the energy management of three-phase microgrids.",

keywords = "Optimal energy management, Renewable energy sources, Unbalanced generator model, Unbalanced microgrid",

author = "Giraldo, {Juan S.} and Castrillon, {Jhon A.} and Castro, {Carlos A.} and Federico Milano",

year = "2019",

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language = "English",

pages = "1--6",

booktitle = "2019 IEEE Milan PowerTech, PowerTech 2019",

publisher = "Institute of Electrical and Electronics Engineers",

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Optimal energy management of unbalanced three-phase grid-connected microgrids. / Giraldo, Juan S.; Castrillon, Jhon A.; Castro, Carlos A. et al.
2019 IEEE Milan PowerTech, PowerTech 2019. Piscataway: Institute of Electrical and Electronics Engineers, 2019. p. 1-6 8810498.

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

TY - GEN

T1 - Optimal energy management of unbalanced three-phase grid-connected microgrids

AU - Giraldo, Juan S.

AU - Castrillon, Jhon A.

AU - Castro, Carlos A.

AU - Milano, Federico

PY - 2019/6

Y1 - 2019/6

N2 - This paper presents a non-linear optimization problem based on nodal current injections to solve the optimal energy management of unbalanced, three-phase, grid-connected microgrids. The focus is on the modelling of small synchronous machines under unbalanced operation. Inverter-interfaced distributed energy resources, i.e., renewable sources and energy storage systems, are also considered and described. The proposed formulation minimizes the cost of the energy consumed by the microgrid while satisfying active and reactive power balances, the devices operational constraints, as well as current and voltage operational limits. The proposed model is tested using the IEEE 123 node test feeder and compared to commonly used formulations. Simulation results show the impact of unbalanced models on the energy management of three-phase microgrids.

AB - This paper presents a non-linear optimization problem based on nodal current injections to solve the optimal energy management of unbalanced, three-phase, grid-connected microgrids. The focus is on the modelling of small synchronous machines under unbalanced operation. Inverter-interfaced distributed energy resources, i.e., renewable sources and energy storage systems, are also considered and described. The proposed formulation minimizes the cost of the energy consumed by the microgrid while satisfying active and reactive power balances, the devices operational constraints, as well as current and voltage operational limits. The proposed model is tested using the IEEE 123 node test feeder and compared to commonly used formulations. Simulation results show the impact of unbalanced models on the energy management of three-phase microgrids.

KW - Optimal energy management

KW - Renewable energy sources

KW - Unbalanced generator model

KW - Unbalanced microgrid

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DO - 10.1109/PTC.2019.8810498

M3 - Conference contribution

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EP - 6

BT - 2019 IEEE Milan PowerTech, PowerTech 2019

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2019 IEEE PowerTech Milan

Y2 - 23 June 2019 through 27 June 2019

ER -

Optimal energy management of unbalanced three-phase grid-connected microgrids

Abstract

Conference

Keywords

UN SDGs

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