Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

Xiaoyan Qian; Yun Yang; Chendan Li; Siew-Chong Tan

doi:10.1109/IPEMC-ECCEAsia48364.2020.9367880

Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

Xiaoyan Qian, Yun Yang, Chendan Li, Siew-Chong Tan

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

8 Citations (Scopus)

Abstract

This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving. © 2020 IEEE.

Original language	English
Title of host publication	2020 IEEE 9th International Power Electronics and Motion Control Conference
Subtitle of host publication	IPEMC 2020 ECCE Asia
Publisher	IEEE
Pages	1114-1120
ISBN (Electronic)	9781728153018
ISBN (Print)	978-1-7281-5302-5
DOIs	https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367880
Publication status	Published - Nov 2020
Externally published	Yes
Event	9th IEEE International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) - International Youth Cultural Centre, Nanjing, China Duration: 29 Nov 2020 → 2 Dec 2020 http://ipemc2020.com/

Publication series

Name	IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia

Conference

Conference	9th IEEE International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia)
Place	China
City	Nanjing
Period	29/11/20 → 2/12/20
Internet address	http://ipemc2020.com/

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Adaptive Differential Evolution (ADE)
DC microgrid
operating cost
virtual resistance

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10.1109/IPEMC-ECCEAsia48364.2020.9367880

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Cite this

Qian, X., Yang, Y., Li, C., & Tan, S.-C. (2020). Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm. In 2020 IEEE 9th International Power Electronics and Motion Control Conference: IPEMC 2020 ECCE Asia (pp. 1114-1120). (IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia). IEEE. https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367880

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title = "Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm",

abstract = "This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving. {\textcopyright} 2020 IEEE.",

keywords = "Adaptive Differential Evolution (ADE), DC microgrid, operating cost, virtual resistance",

author = "Xiaoyan Qian and Yun Yang and Chendan Li and Siew-Chong Tan",

year = "2020",

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doi = "10.1109/IPEMC-ECCEAsia48364.2020.9367880",

language = "English",

isbn = "978-1-7281-5302-5",

series = "IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia",

publisher = "IEEE",

pages = "1114--1120",

booktitle = "2020 IEEE 9th International Power Electronics and Motion Control Conference",

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note = "9th IEEE International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ; Conference date: 29-11-2020 Through 02-12-2020",

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Qian, X, Yang, Y, Li, C & Tan, S-C 2020, Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm. in 2020 IEEE 9th International Power Electronics and Motion Control Conference: IPEMC 2020 ECCE Asia. IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia, IEEE, pp. 1114-1120, 9th IEEE International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia), Nanjing, China, 29/11/20. https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367880

Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm. / Qian, Xiaoyan; Yang, Yun; Li, Chendan et al.
2020 IEEE 9th International Power Electronics and Motion Control Conference: IPEMC 2020 ECCE Asia. IEEE, 2020. p. 1114-1120 (IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

AU - Qian, Xiaoyan

AU - Yang, Yun

AU - Li, Chendan

AU - Tan, Siew-Chong

PY - 2020/11

Y1 - 2020/11

N2 - This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving. © 2020 IEEE.

AB - This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving. © 2020 IEEE.

KW - Adaptive Differential Evolution (ADE)

KW - DC microgrid

KW - operating cost

KW - virtual resistance

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DO - 10.1109/IPEMC-ECCEAsia48364.2020.9367880

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-7281-5302-5

T3 - IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia

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EP - 1120

BT - 2020 IEEE 9th International Power Electronics and Motion Control Conference

PB - IEEE

T2 - 9th IEEE International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia)

Y2 - 29 November 2020 through 2 December 2020

ER -

Qian X, Yang Y, Li C, Tan SC. Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm. In 2020 IEEE 9th International Power Electronics and Motion Control Conference: IPEMC 2020 ECCE Asia. IEEE. 2020. p. 1114-1120. (IEEE International Power Electronics and Motion Control Conference, IPEMC ECCE Asia). doi: 10.1109/IPEMC-ECCEAsia48364.2020.9367880

Economic Dispatch of DC Microgrids under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

Abstract

Publication series

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UN SDGs

Research Keywords

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