A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization

De Zhang; Yuzheng Xie; Wenqiu Zou; Gengfeng Li; Qiming Yang; Mingqian Xu; Minghao Li

doi:10.1109/MEPE56451.2022.10146613

A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization

De Zhang
, Yuzheng Xie
, Wenqiu Zou
, Gengfeng Li
, Qiming Yang
, Mingqian Xu
, Minghao Li

School of Electrical Engineering

State Grid Corporation of China
Xi'an Jiaotong University

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

Abstract

The generator start-up problem is a multi-stage, multi-constraint, multi-objective, nonlinear and discrete complex combinatorial optimization problem. Firstly, this paper considers four research objects of unit, grid, load and line, and puts forward four corresponding evaluation indicators. With the relevant constraints considered, the multi-objective generator start-up strategy model with preference is built. The r-NSGA-II algorithm that used in preference optimization theory is presented to optimize the multi-objective generator start-up model with preference. Finally, by comparing the optimal solution of multiple Pareto, the best unit recovery order and recovery line path are selected. The model and algorithm validity presented in this paper are verified by the test system.

Original language	English
Title of host publication	2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	79-84
Number of pages	6
ISBN (Electronic)	9781665491280
DOIs	https://doi.org/10.1109/MEPE56451.2022.10146613
State	Published - 2022
Event	2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022 - Virtual, Online, China Duration: 27 Dec 2022 → 29 Dec 2022

Publication series

Name	2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022

Conference

Conference	2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022
Country/Territory	China
City	Virtual, Online
Period	27/12/22 → 29/12/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

generator start-up sequence
preference multi-objective optimization
restoration path

Access to Document

10.1109/MEPE56451.2022.10146613

Cite this

Zhang, D., Xie, Y., Zou, W., Li, G., Yang, Q., Xu, M., & Li, M. (2022). A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization. In 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022 (pp. 79-84). (2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPE56451.2022.10146613

Zhang, De ; Xie, Yuzheng ; Zou, Wenqiu et al. / A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization. 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 79-84 (2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022).

@inproceedings{2e5944e701814ff2a59282694ae169fd,

title = "A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization",

abstract = "The generator start-up problem is a multi-stage, multi-constraint, multi-objective, nonlinear and discrete complex combinatorial optimization problem. Firstly, this paper considers four research objects of unit, grid, load and line, and puts forward four corresponding evaluation indicators. With the relevant constraints considered, the multi-objective generator start-up strategy model with preference is built. The r-NSGA-II algorithm that used in preference optimization theory is presented to optimize the multi-objective generator start-up model with preference. Finally, by comparing the optimal solution of multiple Pareto, the best unit recovery order and recovery line path are selected. The model and algorithm validity presented in this paper are verified by the test system.",

keywords = "generator start-up sequence, preference multi-objective optimization, restoration path",

author = "De Zhang and Yuzheng Xie and Wenqiu Zou and Gengfeng Li and Qiming Yang and Mingqian Xu and Minghao Li",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022 ; Conference date: 27-12-2022 Through 29-12-2022",

year = "2022",

doi = "10.1109/MEPE56451.2022.10146613",

language = "英语",

series = "2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022",

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

pages = "79--84",

booktitle = "2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022",

}

Zhang, D, Xie, Y, Zou, W, Li, G, Yang, Q, Xu, M & Li, M 2022, A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization. in 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022. 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 79-84, 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022, Virtual, Online, China, 27/12/22. https://doi.org/10.1109/MEPE56451.2022.10146613

A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization. / Zhang, De; Xie, Yuzheng; Zou, Wenqiu et al.
2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 79-84 (2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022).

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

TY - GEN

T1 - A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization

AU - Zhang, De

AU - Xie, Yuzheng

AU - Zou, Wenqiu

AU - Li, Gengfeng

AU - Yang, Qiming

AU - Xu, Mingqian

AU - Li, Minghao

PY - 2022

Y1 - 2022

N2 - The generator start-up problem is a multi-stage, multi-constraint, multi-objective, nonlinear and discrete complex combinatorial optimization problem. Firstly, this paper considers four research objects of unit, grid, load and line, and puts forward four corresponding evaluation indicators. With the relevant constraints considered, the multi-objective generator start-up strategy model with preference is built. The r-NSGA-II algorithm that used in preference optimization theory is presented to optimize the multi-objective generator start-up model with preference. Finally, by comparing the optimal solution of multiple Pareto, the best unit recovery order and recovery line path are selected. The model and algorithm validity presented in this paper are verified by the test system.

AB - The generator start-up problem is a multi-stage, multi-constraint, multi-objective, nonlinear and discrete complex combinatorial optimization problem. Firstly, this paper considers four research objects of unit, grid, load and line, and puts forward four corresponding evaluation indicators. With the relevant constraints considered, the multi-objective generator start-up strategy model with preference is built. The r-NSGA-II algorithm that used in preference optimization theory is presented to optimize the multi-objective generator start-up model with preference. Finally, by comparing the optimal solution of multiple Pareto, the best unit recovery order and recovery line path are selected. The model and algorithm validity presented in this paper are verified by the test system.

KW - generator start-up sequence

KW - preference multi-objective optimization

KW - restoration path

UR - https://www.scopus.com/pages/publications/85163783131

U2 - 10.1109/MEPE56451.2022.10146613

DO - 10.1109/MEPE56451.2022.10146613

M3 - 会议稿件

AN - SCOPUS:85163783131

T3 - 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022

SP - 79

EP - 84

BT - 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022

Y2 - 27 December 2022 through 29 December 2022

ER -

Zhang D, Xie Y, Zou W, Li G, Yang Q, Xu M et al. A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization. In 2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 79-84. (2022 International Conference on Mechanical Engineering and Power Engineering, MEPE 2022). doi: 10.1109/MEPE56451.2022.10146613

A Generator Start-Up Optimization Strategy Based on the Preference Multi-objective Optimization

Abstract

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UN SDGs

Keywords

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