Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo

Yuxiong Huang; Gengfeng Li

doi:10.1109/EI2.2017.8245412

Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo

Yuxiong Huang
, Gengfeng Li

School of Electrical Engineering

Xi'an Jiaotong University

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

8 Scopus citations

Abstract

Distributed integrated energy system (DIES) is conductive to alleviate the energy shortage and environment pollution. As a basis for planning and operation, reliability evaluation is important for the development of DIES. Firstly, this paper established a reliability evaluation model of DIES based on an energy hub model, which can describe the complex interconnection between different power supply subsystems. Then, the impacts of dynamic behavior of thermostatically controlled load on the reliability evaluation of DIES is analyzed based on an electric water heater (EWH) model. And the reliability evaluation of DIES is carried out based on a Markov chain Monte Carlo (MCMC) simulation. The feasibility of the proposed method is validated by extensive case studies.

Original language	English
Title of host publication	2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538614273
DOIs	https://doi.org/10.1109/EI2.2017.8245412
State	Published - 28 Jun 2017
Event	2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Beijing, China Duration: 27 Nov 2017 → 28 Nov 2017

Publication series

Name	2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings
Volume	2018-January

Conference

Conference	2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017
Country/Territory	China
City	Beijing
Period	27/11/17 → 28/11/17

Keywords

Markov chain Monte Carlo simulation
distributed integrated energy system
energy hub
reliability evaluation

Access to Document

10.1109/EI2.2017.8245412

Cite this

Huang, Y., & Li, G. (2017). Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo. In 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings (pp. 1-5). (2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI2.2017.8245412

Huang, Yuxiong ; Li, Gengfeng. / Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo. 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-5 (2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings).

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title = "Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo",

abstract = "Distributed integrated energy system (DIES) is conductive to alleviate the energy shortage and environment pollution. As a basis for planning and operation, reliability evaluation is important for the development of DIES. Firstly, this paper established a reliability evaluation model of DIES based on an energy hub model, which can describe the complex interconnection between different power supply subsystems. Then, the impacts of dynamic behavior of thermostatically controlled load on the reliability evaluation of DIES is analyzed based on an electric water heater (EWH) model. And the reliability evaluation of DIES is carried out based on a Markov chain Monte Carlo (MCMC) simulation. The feasibility of the proposed method is validated by extensive case studies.",

keywords = "Markov chain Monte Carlo simulation, distributed integrated energy system, energy hub, reliability evaluation",

author = "Yuxiong Huang and Gengfeng Li",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 ; Conference date: 27-11-2017 Through 28-11-2017",

year = "2017",

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language = "英语",

series = "2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings",

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

pages = "1--5",

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Huang, Y & Li, G 2017, Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo. in 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings. 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017, Beijing, China, 27/11/17. https://doi.org/10.1109/EI2.2017.8245412

Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo. / Huang, Yuxiong; Li, Gengfeng.
2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings; Vol. 2018-January).

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

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AU - Huang, Yuxiong

AU - Li, Gengfeng

PY - 2017/6/28

Y1 - 2017/6/28

N2 - Distributed integrated energy system (DIES) is conductive to alleviate the energy shortage and environment pollution. As a basis for planning and operation, reliability evaluation is important for the development of DIES. Firstly, this paper established a reliability evaluation model of DIES based on an energy hub model, which can describe the complex interconnection between different power supply subsystems. Then, the impacts of dynamic behavior of thermostatically controlled load on the reliability evaluation of DIES is analyzed based on an electric water heater (EWH) model. And the reliability evaluation of DIES is carried out based on a Markov chain Monte Carlo (MCMC) simulation. The feasibility of the proposed method is validated by extensive case studies.

AB - Distributed integrated energy system (DIES) is conductive to alleviate the energy shortage and environment pollution. As a basis for planning and operation, reliability evaluation is important for the development of DIES. Firstly, this paper established a reliability evaluation model of DIES based on an energy hub model, which can describe the complex interconnection between different power supply subsystems. Then, the impacts of dynamic behavior of thermostatically controlled load on the reliability evaluation of DIES is analyzed based on an electric water heater (EWH) model. And the reliability evaluation of DIES is carried out based on a Markov chain Monte Carlo (MCMC) simulation. The feasibility of the proposed method is validated by extensive case studies.

KW - Markov chain Monte Carlo simulation

KW - distributed integrated energy system

KW - energy hub

KW - reliability evaluation

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M3 - 会议稿件

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T3 - 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings

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BT - 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Huang Y, Li G. Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo. In 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. (2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 - Proceedings). doi: 10.1109/EI2.2017.8245412

Reliability evaluation of distributed integrated energy systems via Markov chain Monte Carlo

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