A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters

Zipeng Liang; Zhaoyang Dong; Chaojie Li; Chenye Wu; Haoyong Chen

doi:10.1109/TSG.2022.3193030

A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters

Zipeng Liang, Zhaoyang Dong^*, Chaojie Li, Chenye Wu, Haoyong Chen

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

29 Citations (Scopus)

Abstract

Bi-directional converters (BDCs) facilitate the high efficiency of hybrid AC/DC microgrids (HMs). However, the HM operation is rather challenging due to the non-convex system model. This letter develops a data-driven convex model for HM operation involving BDCs. First, a least squares approximation method with data-driven weight functions is proposed to linearize BDC efficiency behavior. Then, the convex linear HM model is formulated by combining this linearized model with an analysis of the conditions ensuring non-simultaneous BDC inverting and rectifying operations. The low approximation error and high computational efficiency of the proposed model are demonstrated based on an analysis of numerical studies. © 2010-2012 IEEE.

Original language	English
Pages (from-to)	1313-1316
Journal	IEEE Transactions on Smart Grid
Volume	14
Issue number	2
Online published	21 Jul 2022
DOIs	https://doi.org/10.1109/TSG.2022.3193030
Publication status	Published - Mar 2023
Externally published	Yes

Research Keywords

bi-directional converters
data-driven model
Hybrid microgrids
microgrid operation

Access Output

10.1109/TSG.2022.3193030

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{f23c51ecf8a649cc8150ee4c4b0a5f90,

title = "A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters",

abstract = "Bi-directional converters (BDCs) facilitate the high efficiency of hybrid AC/DC microgrids (HMs). However, the HM operation is rather challenging due to the non-convex system model. This letter develops a data-driven convex model for HM operation involving BDCs. First, a least squares approximation method with data-driven weight functions is proposed to linearize BDC efficiency behavior. Then, the convex linear HM model is formulated by combining this linearized model with an analysis of the conditions ensuring non-simultaneous BDC inverting and rectifying operations. The low approximation error and high computational efficiency of the proposed model are demonstrated based on an analysis of numerical studies. {\textcopyright} 2010-2012 IEEE.",

keywords = "bi-directional converters, data-driven model, Hybrid microgrids, microgrid operation",

author = "Zipeng Liang and Zhaoyang Dong and Chaojie Li and Chenye Wu and Haoyong Chen",

year = "2023",

month = mar,

doi = "10.1109/TSG.2022.3193030",

language = "English",

volume = "14",

pages = "1313--1316",

journal = "IEEE Transactions on Smart Grid",

issn = "1949-3053",

publisher = "IEEE",

number = "2",

}

TY - JOUR

T1 - A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters

AU - Liang, Zipeng

AU - Dong, Zhaoyang

AU - Li, Chaojie

AU - Wu, Chenye

AU - Chen, Haoyong

PY - 2023/3

Y1 - 2023/3

N2 - Bi-directional converters (BDCs) facilitate the high efficiency of hybrid AC/DC microgrids (HMs). However, the HM operation is rather challenging due to the non-convex system model. This letter develops a data-driven convex model for HM operation involving BDCs. First, a least squares approximation method with data-driven weight functions is proposed to linearize BDC efficiency behavior. Then, the convex linear HM model is formulated by combining this linearized model with an analysis of the conditions ensuring non-simultaneous BDC inverting and rectifying operations. The low approximation error and high computational efficiency of the proposed model are demonstrated based on an analysis of numerical studies. © 2010-2012 IEEE.

AB - Bi-directional converters (BDCs) facilitate the high efficiency of hybrid AC/DC microgrids (HMs). However, the HM operation is rather challenging due to the non-convex system model. This letter develops a data-driven convex model for HM operation involving BDCs. First, a least squares approximation method with data-driven weight functions is proposed to linearize BDC efficiency behavior. Then, the convex linear HM model is formulated by combining this linearized model with an analysis of the conditions ensuring non-simultaneous BDC inverting and rectifying operations. The low approximation error and high computational efficiency of the proposed model are demonstrated based on an analysis of numerical studies. © 2010-2012 IEEE.

KW - bi-directional converters

KW - data-driven model

KW - Hybrid microgrids

KW - microgrid operation

UR - http://www.scopus.com/inward/record.url?scp=85135238832&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85135238832&origin=recordpage

U2 - 10.1109/TSG.2022.3193030

DO - 10.1109/TSG.2022.3193030

M3 - RGC 21 - Publication in refereed journal

SN - 1949-3053

VL - 14

SP - 1313

EP - 1316

JO - IEEE Transactions on Smart Grid

JF - IEEE Transactions on Smart Grid

IS - 2

ER -

A Data-Driven Convex Model for Hybrid Microgrid Operation With Bidirectional Converters

Abstract

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this