Bi-level scheduling model for a novel virtual power plant incorporating waste incineration power plant and electric waste truck considering waste transportation strategy

被引:1
|
作者
Jia, Dongqing [1 ,2 ]
Shen, Zhong [1 ,2 ]
Li, Xingmei [1 ,2 ]
Lv, Xiaoyan [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
[2] North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Virtual power plant; Waste incineration power plant; Electric waste truck; Waste transportation strategy; Bi-level programming;
D O I
10.1016/j.enconman.2023.117773
中图分类号
O414.1 [热力学];
学科分类号
摘要
Aggregating waste incineration plants, electric waste trucks, and renewable energy sources into virtual power plants is important to promote renewable energy utilization and sustainable waste disposal. However, electric waste trucks must perform daily waste transportation tasks while participating in virtual power plant scheduling. Therefore, coordinating the relationship between the two has become a key to the stable operation of the virtual power plant systems. This study constructed a novel virtual power plant system incorporating waste incineration plants and electric waste trucks. The transportation strategy of the electric waste truck and the scheduling strategy of the virtual power plant were simultaneously considered through a bi-level programming model. The simulation results show that: (1) the proposed virtual power plant's revenue increased by 19.59%, and electric waste truck operating costs decreased by 45.91% compared to independent operations; (2) the of revenue plant increased by only 5.81% when electric waste trucks fully adhered to the virtual power plant schedule before performing waste transportation tasks, but electric waste truck costs increased by 27.14% compared to the proposed bi-level programming model. In conclusion, this bi-level programming model effectively balances the interests of various stakeholders, promotes efficient waste resource utilization, and enhances municipal solid waste removal efficiency. The proposed virtual power plant planning scheme fully utilizes renewable energy and waste resources, improves waste utilization efficiency, and provides innovative ideas for renewable energy consumption.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Bi-level scheduling optimization of integrated energy system considering waste power plant
    Zhuge, Xueying
    Liu, Chaobo
    Yang, Guotian
    Li, Xinli
    [J]. 2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021), 2021, : 637 - 641
  • [2] Bi-level strategic bidding model of novel virtual power plant aggregating waste gasification in integrated electricity and hydrogen markets
    Jia, Dongqing
    Li, Xingmei
    Gong, Xu
    Lv, Xiaoyan
    Shen, Zhong
    [J]. APPLIED ENERGY, 2024, 357
  • [3] Optimization scheduling of virtual power plant with carbon capture and waste incineration considering P2G coordination
    Zhang, Zongnan
    Du, Jun
    Zhu, Kongge
    Guo, Jing
    Li, Menghan
    Xu, Tao
    [J]. ENERGY REPORTS, 2022, 8 : 7200 - 7218
  • [4] ELECTRIC POWER PLANT WASTE HEAT UTILIZATION
    Bowman, Charles F.
    [J]. PROCEEDINGS OF THE ASME SUMMER HEAT TRANSFER CONFERENCE, 2012, VOL 1, 2012, : 111 - 120
  • [5] Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach
    Kardakos, Evaggelos G.
    Simoglou, Christos K.
    Bakirtzis, Anastasios G.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (02) : 794 - 806
  • [6] Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number
    Yu, Jie
    Jiao, Yiping
    Wang, Xiaolong
    Cao, Jinde
    Fei, Shumin
    [J]. NEUROCOMPUTING, 2015, 167 : 551 - 557
  • [7] A Bi-Level Optimization Model for Virtual Power Plant Membership Selection Considering Load Time Series
    Wang, Yantao
    Zhang, Yinhan
    Qi, Xuesong
    Wang, Meiqi
    Wang, Xinyue
    [J]. SUSTAINABILITY, 2023, 15 (03)
  • [8] Intelligent Modeling of the Incineration Process in Waste Incineration Power Plant Based on Deep Learning
    Chen, Lianhong
    Wang, Chao
    Zhong, Rigang
    Wang, Jin
    Zhao, Zheng
    [J]. ENERGIES, 2022, 15 (12)
  • [9] Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration power in rural areas
    Ju, Liwei
    Yin, Zhe
    Zhou, Qingqing
    Li, Qiaochu
    Wang, Peng
    Tian, Wenxu
    Li, Peng
    Tan, Zhongfu
    [J]. APPLIED ENERGY, 2022, 310
  • [10] Bi-level optimal planning model for energy storage systems in a virtual power plant
    Li, Jinghua
    Lu, Bo
    Wang, Zhibang
    Zhu, Mengshu
    [J]. RENEWABLE ENERGY, 2021, 165 : 77 - 95