Multi-objective and Multi-stage Energy Supply Configuration Method for Integrated Energy System Based on AUGMECON-R

被引：0
|
作者：
Li T. [1 ]
Hu Z. [1 ]
Tan Z. [2 ]
Wang Y. [2 ]
Hu H. [1 ]
Hao D. [1 ]
Zheng L. [1 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Hubei Province, Wuhan
[2] Electric Power Science Research Institute, Guizhou Power Grid Co., Ltd., Guizhou Province, Guiyang
来源：
Dianwang Jishu/Power System Technology | 2024年 / 48卷 / 07期
关键词：
AUGMECON-R method; integrated energy system planning; multi-dimensional target; multi-stage model;
D O I：
10.13335/j.1000-3673.pst.2023.1866
中图分类号：
学科分类号：
摘要：
The energy supply configuration of an integrated energy park is a necessary technical means to practice constructing a modern energy system and achieving energy efficiency and clean utilization of energy. However, the existing planning and allocation methods have shortcomings, such as disunity of the multi-energy coupling conversion model, neglect of construction timing, and lack of multi-dimensional target selection. Therefore, the multi-objective and multi-stage energy supply configuration model for an integrated energy system, a multi-target mixed integer linear programming, is established. The solution method of Pareto sets based on AUGMECON-R is proposed to achieve an efficient solution to the multi-target problem. Combined with the comprehensive weight and TOPSIS method, the configuration plan that fits most of the park's multi-dimensional evaluation preferences can be selected. The simulation of the example verifies the effectiveness of the model and algorithm. This model can be applied to the decision-making of energy supply Configuration in various types of parks. © 2024 Power System Technology Press. All rights reserved.
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页码：2723 / 2733
页数：10
相关论文
共 26 条
  • [1] LI Jingjing, LI Changlu, An overview of integrated energy system optimal operation technology for zero-carbon parks[J/OL], Power System Technology, pp. 1-16, (2023)
  • [2] ZENG Ming, LIU Yingxin, ZHOU Pengcheng, Review and prospects of integrated energy system modeling and benefit evaluation[J], Power System Technology, 42, 6, pp. 1697-1708, (2018)
  • [3] XUAN Ang, SHEN Xinwei, Qinglai GUO, A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables[J], Applied Energy, 294, (2021)
  • [4] Yunfei MU, Wanqing CHEN, Xiaodan YU, A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies[J], Applied Energy, 279, (2020)
  • [5] LIN Zhuoran, WANG Shouxiang, WANG Shaomin, Distributed coordinated dispatching of district electric-thermal integrated energy system considering ladder-type carbon trading mechanism[J], Power System Technology, 47, 1, pp. 217-225, (2023)
  • [6] Jing PENG, WANG Jun, QI Fujun, Multi-stage expansion planning of a distribution network with double-carbon policy[J], Power System Protection and Control, 50, 7, pp. 153-161, (2022)
  • [7] NASRI A, ABDOLLAHI A, RASHIDINEJAD M．, Multi-stage and resilience-based distribution network expansion planning against hurricanes based on vulnerability and resiliency metrics[J], International Journal of Electrical Power & Energy Systems, 136, (2022)
  • [8] DING Tao, Ming QU, HUANG Can, Multi-period active distribution network planning using multi-stage stochastic programming and nested decomposition by SDDIP[J], IEEE Transactions on Power Systems, 36, 3, pp. 2281-2292, (2021)
  • [9] CHEN Sheng, ZHANG Jingchun, WEI Zhinong, Energy transition oriented planning and operation of electricity-gas-hydrogen integrated energy system[J], Automation of Electric Power Systems, 47, 19, pp. 16-30, (2023)
  • [10] LIU Zifa, ZHOU Hanze, Research on comprehensive energy system planning method considering multi agent energy transaction[J], Power System Technology, 46, 9, pp. 3524-3533, (2022)
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