Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries

Panbao Wang; Linzhi Zhang; Dianguo Xu

doi:10.23919/ICEMS.2018.8549448

Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries

Panbao Wang
, Linzhi Zhang
, Dianguo Xu

School of Electrical Engineering and Automation

Harbin Institute of Technology

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

8 Scopus citations

Abstract

This paper studies optimal sizing method of distributed generations in DC microgrids (MGs). According to the models of photovoltaic (PV) units, wind turbine (WT) units and grid-connected converter (GCC) integrated in DC MGs, the economic objective function can be established with essential system constraints. By employing particle swarm optimization (PSO) algorithm, optimal sizing problem can be solved as a nonlinear optimization process targeting at the lowest annualized capital cost. Moreover, in order to make the optimal sizing results more accurate, lifespan estimated model of batteries is considered in this paper to evaluate the replace period and cost of the batteries in DC MGs. Corresponding simulation with different state of charge (SoC) of batteries and different operation modes of DC MGs are conducted and analyzed.

Original language	English
Title of host publication	ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2045-2049
Number of pages	5
ISBN (Electronic)	9788986510201
DOIs	https://doi.org/10.23919/ICEMS.2018.8549448
State	Published - 27 Nov 2018
Event	21st International Conference on Electrical Machines and Systems, ICEMS 2018 - Jeju, Korea, Republic of Duration: 7 Oct 2018 → 10 Oct 2018

Publication series

Name	ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems

Conference

Conference	21st International Conference on Electrical Machines and Systems, ICEMS 2018
Country/Territory	Korea, Republic of
City	Jeju
Period	7/10/18 → 10/10/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

batteries
de mierogrids
lifespan estimated
optimal sizing

Access to Document

10.23919/ICEMS.2018.8549448

Cite this

Wang, P., Zhang, L., & Xu, D. (2018). Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries. In ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems (pp. 2045-2049). Article 8549448 (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICEMS.2018.8549448

Wang, Panbao ; Zhang, Linzhi ; Xu, Dianguo. / Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries. ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2045-2049 (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems).

@inproceedings{ebdab17e52c54c2bb314faf0b5675438,

title = "Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries",

abstract = "This paper studies optimal sizing method of distributed generations in DC microgrids (MGs). According to the models of photovoltaic (PV) units, wind turbine (WT) units and grid-connected converter (GCC) integrated in DC MGs, the economic objective function can be established with essential system constraints. By employing particle swarm optimization (PSO) algorithm, optimal sizing problem can be solved as a nonlinear optimization process targeting at the lowest annualized capital cost. Moreover, in order to make the optimal sizing results more accurate, lifespan estimated model of batteries is considered in this paper to evaluate the replace period and cost of the batteries in DC MGs. Corresponding simulation with different state of charge (SoC) of batteries and different operation modes of DC MGs are conducted and analyzed.",

keywords = "batteries, de mierogrids, lifespan estimated, optimal sizing",

author = "Panbao Wang and Linzhi Zhang and Dianguo Xu",

note = "Publisher Copyright: {\textcopyright} 2018 KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems).; 21st International Conference on Electrical Machines and Systems, ICEMS 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2018",

month = nov,

day = "27",

doi = "10.23919/ICEMS.2018.8549448",

language = "英语",

series = "ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2045--2049",

booktitle = "ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems",

address = "美国",

}

Wang, P, Zhang, L & Xu, D 2018, Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries. in ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems., 8549448, ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 2045-2049, 21st International Conference on Electrical Machines and Systems, ICEMS 2018, Jeju, Korea, Republic of, 7/10/18. https://doi.org/10.23919/ICEMS.2018.8549448

Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries. / Wang, Panbao; Zhang, Linzhi; Xu, Dianguo.
ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2045-2049 8549448 (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems).

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

TY - GEN

T1 - Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries

AU - Wang, Panbao

AU - Zhang, Linzhi

AU - Xu, Dianguo

PY - 2018/11/27

Y1 - 2018/11/27

N2 - This paper studies optimal sizing method of distributed generations in DC microgrids (MGs). According to the models of photovoltaic (PV) units, wind turbine (WT) units and grid-connected converter (GCC) integrated in DC MGs, the economic objective function can be established with essential system constraints. By employing particle swarm optimization (PSO) algorithm, optimal sizing problem can be solved as a nonlinear optimization process targeting at the lowest annualized capital cost. Moreover, in order to make the optimal sizing results more accurate, lifespan estimated model of batteries is considered in this paper to evaluate the replace period and cost of the batteries in DC MGs. Corresponding simulation with different state of charge (SoC) of batteries and different operation modes of DC MGs are conducted and analyzed.

AB - This paper studies optimal sizing method of distributed generations in DC microgrids (MGs). According to the models of photovoltaic (PV) units, wind turbine (WT) units and grid-connected converter (GCC) integrated in DC MGs, the economic objective function can be established with essential system constraints. By employing particle swarm optimization (PSO) algorithm, optimal sizing problem can be solved as a nonlinear optimization process targeting at the lowest annualized capital cost. Moreover, in order to make the optimal sizing results more accurate, lifespan estimated model of batteries is considered in this paper to evaluate the replace period and cost of the batteries in DC MGs. Corresponding simulation with different state of charge (SoC) of batteries and different operation modes of DC MGs are conducted and analyzed.

KW - batteries

KW - de mierogrids

KW - lifespan estimated

KW - optimal sizing

UR - https://www.scopus.com/pages/publications/85060027739

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DO - 10.23919/ICEMS.2018.8549448

M3 - 会议稿件

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T3 - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems

SP - 2045

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BT - ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Conference on Electrical Machines and Systems, ICEMS 2018

Y2 - 7 October 2018 through 10 October 2018

ER -

Wang P, Zhang L, Xu D. Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries. In ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2045-2049. 8549448. (ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems). doi: 10.23919/ICEMS.2018.8549448

Optimal Sizing of Distributed Generations in DC Microgrids with Lifespan Estimated Model of Batteries

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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