Optimal integration of mobile battery energy storage in distribution system with renewables

Yu Zheng; Zhaoyang Dong; Shilin Huang; Ke Meng; Fengji Luo; Jie Huang; David Hill

doi:10.1007/s40565-015-0134-y

Optimal integration of mobile battery energy storage in distribution system with renewables

Yu Zheng
, Zhaoyang Dong
, Shilin Huang
, Ke Meng
, Fengji Luo
, Jie Huang
, David Hill

Research output: Contribution to journal › Article › Research › peer-review

44 Citations (Scopus)

Abstract

An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.

Original language	English
Pages (from-to)	589-596
Number of pages	8
Journal	Journal of Modern Power Systems and Clean Energy
Volume	3
Issue number	4
DOIs	https://doi.org/10.1007/s40565-015-0134-y
Publication status	Published - Dec 2015
Externally published	Yes

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Markov models
Mobile battery energy storage system (MBESS)
Monte Carlo simulation
Reliability

Access to Document

10.1007/s40565-015-0134-y

Cite this

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title = "Optimal integration of mobile battery energy storage in distribution system with renewables",

abstract = "An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.",

keywords = "Markov models, Mobile battery energy storage system (MBESS), Monte Carlo simulation, Reliability",

author = "Yu Zheng and Zhaoyang Dong and Shilin Huang and Ke Meng and Fengji Luo and Jie Huang and David Hill",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China (Young Scholar Program 71401017, General Program 51277016), State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS14002), Fujian regional science and technology major projects, China (2013H41010151), and Hong Kong RGC Theme Based Research Scheme Grant No. T23-407/13-N. Publisher Copyright: {\textcopyright} The Author(s) 2015.",

year = "2015",

month = dec,

doi = "10.1007/s40565-015-0134-y",

language = "English",

volume = "3",

pages = "589--596",

journal = "Journal of Modern Power Systems and Clean Energy",

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TY - JOUR

T1 - Optimal integration of mobile battery energy storage in distribution system with renewables

AU - Zheng, Yu

AU - Dong, Zhaoyang

AU - Huang, Shilin

AU - Meng, Ke

AU - Luo, Fengji

AU - Huang, Jie

AU - Hill, David

N1 - Funding Information: This work was supported by the National Natural Science Foundation of China (Young Scholar Program 71401017, General Program 51277016), State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS14002), Fujian regional science and technology major projects, China (2013H41010151), and Hong Kong RGC Theme Based Research Scheme Grant No. T23-407/13-N. Publisher Copyright: © The Author(s) 2015.

PY - 2015/12

Y1 - 2015/12

N2 - An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.

AB - An optimal sizing method is proposed in this paper for mobile battery energy storage system (MBESS) in the distribution system with renewables. The optimization is formulated as a bi-objective problem, considering the reliability improvement and energy transaction saving, simultaneously. To evaluate the reliability of distribution system with MBESS and intermittent generation sources, a new framework is proposed, which is based on zone partition and identification of circuit minimal tie sets. Both analytic and simulation methods for reliability assessment are presented and compared in the framework. Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.

KW - Markov models

KW - Mobile battery energy storage system (MBESS)

KW - Monte Carlo simulation

KW - Reliability

UR - https://www.scopus.com/pages/publications/84949810596

U2 - 10.1007/s40565-015-0134-y

DO - 10.1007/s40565-015-0134-y

M3 - Article

AN - SCOPUS:84949810596

SN - 2196-5625

VL - 3

SP - 589

EP - 596

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

IS - 4

ER -

Optimal integration of mobile battery energy storage in distribution system with renewables

Abstract

UN SDGs

Keywords

Access to Document

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