A Bi-level gaming programming for regional integrated energy system considering the users? reliability incentive

被引:5
|
作者
Chen, Biyun [1 ]
Chen, Yanni [1 ,2 ]
Zhou, Hengwang [3 ]
Bai, Xiaoqing [1 ]
Li, Bin [1 ]
Guo, Xiaoxuan [4 ]
机构
[1] Guangxi Univ, Sch Elect Engn, Nanning 530004, Peoples R China
[2] Xiamen Power Supply Co, Fujian Power Grid Corp, Xiamen 361000, Peoples R China
[3] Guangxi Power Grid Corp, Planning & Res Ctr, Nanning 530004, Peoples R China
[4] Guangxi Power Grid Corp, Elect Power Res Inst, Nanning 530023, Guangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Bi-level program; Regional integrated energy system; Reliability incentive; Building thermal inertia; DEMAND RESPONSE; OPTIMIZATION; PROVISION;
D O I
10.1016/j.ress.2022.108839
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the context of the regional integrated energy system, as renewable energy increases and energy coupling gets higher, the operator has more resilience and flexibility to support reliability auxiliary service. To address energy reliability resource allocation, a novel method that user reliability incentive mechanism considering user reli-ability demand is proposed to help optimal decision making in a market vision. Thus, users' demand for reli-ability differentiation in time and space dimensions will become prominent. Accordingly, we propose a master -followers bi-level gaming model with a reliability incentive mechanism. The reliability model is also innovated in the reliability constraint; the reliability reserve margin is adjusted in real-time considering the building thermal inertia and user's status. Considering user's reliability incentive, operator dispatches economically in the upper level and obtain the reliability index. With reliability improvement delivered by the upper level, users chase their maximum energy benefits by adjusting load responds on HVAC. This is considered by building thermal inertia and formulate reliability incentives based on improvement. A case study verifies the superiority of the proposed model on the participant's economy, users' reliability, the renewable energy accommodation capacity, and differential reliability pricing. The sensitivity for external energy price and renewable energy permeability are also analyzed.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] A bi-level programming model for uncertain regional bus scheduling problems
    Wei, Ming
    Sun, Bo
    Jin, Wen-Zhou
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2013, 13 (04): : 106 - 113
  • [32] Multi-factor Incentive Pricing Bi-Level Programming Model for Construction Project
    Han Shuang
    Sun Shengxiang
    [J]. 2019 INTERNATIONAL CONFERENCE ON ECONOMIC MANAGEMENT AND MODEL ENGINEERING (ICEMME 2019), 2019, : 289 - 294
  • [33] A bi-level scheduling strategy for integrated energy systems considering integrated demand response and energy storage co-optimization
    Wang, Yu
    Li, Ke
    Li, Shuzhen
    Ma, Xin
    Zhang, Chenghui
    [J]. JOURNAL OF ENERGY STORAGE, 2023, 66
  • [34] Development of an integrated bi-level model for China's multi-regional energy system planning under uncertainty
    Gong, J. W.
    Li, Y. P.
    Lv, J.
    Huang, G. H.
    Suo, C.
    Gao, P. P.
    [J]. APPLIED ENERGY, 2022, 308
  • [35] 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
    [J]. IEEE ACCESS, 2022, 10 : 62341 - 62364
  • [36] A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system
    Zeng, Qing
    Zhang, Baohua
    Fang, Jiakun
    Chen, Zhe
    [J]. APPLIED ENERGY, 2017, 200 : 192 - 203
  • [37] On the development of Bi-Level Integrated System Collaborative Optimization
    Min Zhao
    Weicheng Cui
    [J]. Structural and Multidisciplinary Optimization, 2011, 43 : 73 - 84
  • [38] On the development of Bi-Level Integrated System Collaborative Optimization
    Zhao, Min
    Cui, Weicheng
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2011, 43 (01) : 73 - 84
  • [39] Sub-Transmission Network Expansion Planning Considering Regional Energy Systems: A Bi-Level Approach
    Navidi, Mohammad
    Tafreshi, Seyed Masoud Moghaddas
    Anvari-Moghaddam, Amjad
    [J]. ELECTRONICS, 2019, 8 (12)
  • [40] Reliability evaluation of regional integrated energy system considering multiple energy storage resources
    Han, Jinglin
    Zhao, Hui
    Hu, Xicheng
    Zhao, Yue
    Dong, Xin
    Cui, Lifei
    Liu, Hong
    Li, Tieliang
    [J]. 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2020, : 436 - 441