Bi-level Model for Demand Side Management in Integrated Energy System

被引：0
|
作者：
Qian, Yimin [1 ]
Ding, Kai [1 ]
Chen, Qiao [1 ]
Xu, Xirui [2 ]
机构：
[1] State Grid Hubei Elect Power Co Ltd, Elect Power Res Inst, Wuhan, Peoples R China
[2] China Three Gorges Univ, Coll Elect Engn & New Energy, Yichang, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC) | 2019年
关键词：
demand side management; integrated energy system; bi-level model; genetic algorithm; big-M method; POWER-SYSTEM; OPTIMIZATION; OPERATION; DISPATCH;
D O I：
10.1109/CIEEC47146.2019.CIEEC-201956
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The integrated energy system (IES) has realized the comprehensive utilization of energy, and the interaction between the supply side and the demand side is more complex. Therefore, a bi-level model for demand side management in IES, considering the income of energy suppliers, the comfort level and the cost of users, is constructed in this paper. In the upper level, energy suppliers optimize the subsidy price to improve their income. In the lower level, the users will adjust their consumption plans based on the subsidy electricity price from the energy suppliers. A solution method based on genetic algorithm and big-M method is used to solve the proposed bi-level model. And the model and solution method are verified in a 24-hour simulation. Through the simulation, the optimal subsidy price and users' energy-use plan can be obtained.
引用
收藏
页码：53 / 58
页数：6
相关论文
共 50 条
  • [21] Bi-level scheduling optimization of integrated energy system considering waste power plant
    Zhuge, Xueying
    Liu, Chaobo
    Yang, Guotian
    Li, Xinli
    2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021), 2021, : 637 - 641
  • [22] A bi-level co-expansion planning of integrated electric and heating system considering demand response
    Du, Yuan
    Xue, Yixun
    Lu, Lina
    Yu, Canping
    Zhang, Jiangfeng
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [23] Bi-level equilibrium of energy retailer-smart energy hub game in integrated energy market
    Sheikhi, Aras
    Khazeni, Sepideh
    Rayati, Mohamad
    Ashourizadeh, Alireza
    IET SMART GRID, 2021, 4 (03) : 284 - 296
  • [24] Bi-level optimal allocation of energy storage in regional integrated energy system considering load margin
    Liu S.
    Gu J.
    Lai B.
    Jin Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (07): : 150 - 158
  • [25] Exploring the Impact of Regional Integrated Energy Systems Performance by Energy Storage Devices Based on a Bi-Level Dynamic Optimization Model
    Jin, Baohong
    Liu, Zhichao
    Liao, Yichuan
    ENERGIES, 2023, 16 (06)
  • [26] Optimal capacity configuration and dynamic pricing strategy of a shared hybrid hydrogen energy storage system for integrated energy system alliance: A bi-level
    Xu, Fangqiu
    Li, Xiaopeng
    Jin, Chunhua
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 69 : 331 - 346
  • [27] BI-LEVEL PROGRAMMING MODEL AND ALGORITHMS FOR STOCHASTIC NETWORK WITH ELASTIC DEMAND
    Zhang, Xiang
    Wang, Hao
    Wang, Wei
    TRANSPORT, 2015, 30 (01) : 117 - 128
  • [28] A Bi-level gaming programming for regional integrated energy system considering the users? reliability incentive
    Chen, Biyun
    Chen, Yanni
    Zhou, Hengwang
    Bai, Xiaoqing
    Li, Bin
    Guo, Xiaoxuan
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 229
  • [29] SYSTEM PARAMETER DESIGN FOR COMMUNITY MICROGRID ENERGY SYSTEM BASED ON A BI-LEVEL OPTIMIZATION MODEL
    Liu, Jiangshan
    Bi, Youyi
    PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 7, 2023,
  • [30] Bi-Level Decentralized Optimal Economic Dispatch for Urban Regional Integrated Energy System Under Carbon Emission Constraints
    Gu, Haifei
    Yu, Jie
    Shen, Yunwei
    Li, Yang
    Guan, Duojiao
    Ye, Peng
    IEEE ACCESS, 2022, 10 : 62341 - 62364
12345