Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory

Xinglei Liu; Jun Liu; Jinchun Chen; Yong Yao; Shizhu Li

doi:10.1109/EI256261.2022.10117431

Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory

Xinglei Liu
, Jun Liu
, Jinchun Chen
, Yong Yao
, Shizhu Li

School of Electrical Engineering

Xi'an Jiaotong University
State Grid Fujian Economic and Technological Research Institute
Ltd.

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

1 Scopus citations

Abstract

Traditional energy system planning generally maximizes the global or individual economic benefit of certain entities, which is somewhat subjective for particular decision maker. However, each participant may have different personalized consideration in the energy market. Therefore, a general cost-revenue model for multiple market entities in the microgrid-level regional integrated energy system (RIES) is firstly proposed in this paper, considering the life cycle cost of each unit. Furthermore, based on the game theory, four types of game models for capacity planning of RIES are developed, and the existence of the game equilibriums is mathematically demonstrated. The profit improved game strategies for units in the microgrid-level RIES are obtained, using the iterative particle swarm optimization (IPSO) algorithm. Numerical case analysis verifies the effectiveness and reliability of the proposed model, and it also validates the merits of stable cooperative game models comparing to non-cooperative game models.

Original language	English
Title of host publication	EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	994-999
Number of pages	6
ISBN (Electronic)	9798350347159
DOIs	https://doi.org/10.1109/EI256261.2022.10117431
State	Published - 2022
Event	6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 - Chengdu, China Duration: 11 Nov 2022 → 13 Nov 2022

Publication series

Name	EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

Conference

Conference	6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022
Country/Territory	China
City	Chengdu
Period	11/11/22 → 13/11/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

capacity planning
cooperative game
iterative particle swarm optimization algorithm
microgrid-level regional integrated energy system

Access to Document

10.1109/EI256261.2022.10117431

Cite this

Liu, X., Liu, J., Chen, J., Yao, Y., & Li, S. (2022). Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory. In EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration (pp. 994-999). (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI256261.2022.10117431

Liu, Xinglei ; Liu, Jun ; Chen, Jinchun et al. / Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory. EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 994-999 (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration).

@inproceedings{f00486d12d294c8ba3e6ce4289afeec0,

title = "Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory",

abstract = "Traditional energy system planning generally maximizes the global or individual economic benefit of certain entities, which is somewhat subjective for particular decision maker. However, each participant may have different personalized consideration in the energy market. Therefore, a general cost-revenue model for multiple market entities in the microgrid-level regional integrated energy system (RIES) is firstly proposed in this paper, considering the life cycle cost of each unit. Furthermore, based on the game theory, four types of game models for capacity planning of RIES are developed, and the existence of the game equilibriums is mathematically demonstrated. The profit improved game strategies for units in the microgrid-level RIES are obtained, using the iterative particle swarm optimization (IPSO) algorithm. Numerical case analysis verifies the effectiveness and reliability of the proposed model, and it also validates the merits of stable cooperative game models comparing to non-cooperative game models.",

keywords = "capacity planning, cooperative game, iterative particle swarm optimization algorithm, microgrid-level regional integrated energy system",

author = "Xinglei Liu and Jun Liu and Jinchun Chen and Yong Yao and Shizhu Li",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 ; Conference date: 11-11-2022 Through 13-11-2022",

year = "2022",

doi = "10.1109/EI256261.2022.10117431",

language = "英语",

series = "EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration",

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

pages = "994--999",

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}

Liu, X, Liu, J, Chen, J, Yao, Y & Li, S 2022, Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory. in EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration, Institute of Electrical and Electronics Engineers Inc., pp. 994-999, 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022, Chengdu, China, 11/11/22. https://doi.org/10.1109/EI256261.2022.10117431

Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory. / Liu, Xinglei; Liu, Jun; Chen, Jinchun et al.
EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc., 2022. p. 994-999 (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration).

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

TY - GEN

T1 - Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory

AU - Liu, Xinglei

AU - Liu, Jun

AU - Chen, Jinchun

AU - Yao, Yong

AU - Li, Shizhu

PY - 2022

Y1 - 2022

N2 - Traditional energy system planning generally maximizes the global or individual economic benefit of certain entities, which is somewhat subjective for particular decision maker. However, each participant may have different personalized consideration in the energy market. Therefore, a general cost-revenue model for multiple market entities in the microgrid-level regional integrated energy system (RIES) is firstly proposed in this paper, considering the life cycle cost of each unit. Furthermore, based on the game theory, four types of game models for capacity planning of RIES are developed, and the existence of the game equilibriums is mathematically demonstrated. The profit improved game strategies for units in the microgrid-level RIES are obtained, using the iterative particle swarm optimization (IPSO) algorithm. Numerical case analysis verifies the effectiveness and reliability of the proposed model, and it also validates the merits of stable cooperative game models comparing to non-cooperative game models.

AB - Traditional energy system planning generally maximizes the global or individual economic benefit of certain entities, which is somewhat subjective for particular decision maker. However, each participant may have different personalized consideration in the energy market. Therefore, a general cost-revenue model for multiple market entities in the microgrid-level regional integrated energy system (RIES) is firstly proposed in this paper, considering the life cycle cost of each unit. Furthermore, based on the game theory, four types of game models for capacity planning of RIES are developed, and the existence of the game equilibriums is mathematically demonstrated. The profit improved game strategies for units in the microgrid-level RIES are obtained, using the iterative particle swarm optimization (IPSO) algorithm. Numerical case analysis verifies the effectiveness and reliability of the proposed model, and it also validates the merits of stable cooperative game models comparing to non-cooperative game models.

KW - capacity planning

KW - cooperative game

KW - iterative particle swarm optimization algorithm

KW - microgrid-level regional integrated energy system

UR - https://www.scopus.com/pages/publications/85160213956

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DO - 10.1109/EI256261.2022.10117431

M3 - 会议稿件

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T3 - EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

SP - 994

EP - 999

BT - EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

Y2 - 11 November 2022 through 13 November 2022

ER -

Liu X, Liu J, Chen J, Yao Y, Li S. Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory. In EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc. 2022. p. 994-999. (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration). doi: 10.1109/EI256261.2022.10117431

Capacity Planning of Microgrid-Level Regional Integrated Energy System Based on Cooperative Game Theory

Abstract

Publication series

Conference

UN SDGs

Keywords

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