Bi-level model for generation expansion planning with contract pricing of renewable energy in the presence of energy storage

被引:13
|
作者
Rafiei, Seyed Arash [1 ]
Mohammadi-ivatloo, Behnam [2 ]
Asadi, Somayeh [3 ]
Goldani, Saeedreza [1 ]
Falaghi, Hamid [1 ]
机构
[1] Univ Birjand, Fac Elect & Comp Engn, Birjand, Iran
[2] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
[3] Penn State Univ, Fac Architectural Engn, University Pk, PA 16802 USA
关键词
wind turbines; power generation economics; energy storage; power markets; investment; pricing; power generation planning; mathematical programming; profitability; renewable energy; bi-level model; generation systems; guaranteed purchase contract; storage units; independent system operator; generation expansion planning; contract pricing; profit maximization; market clearing equations; Karush-Kuhn-Tucker conditions; mathematical program; equilibrium constraints; GAMS software; installation time; compressed air storage systems; DISTRIBUTED GENERATION; DISTRIBUTION NETWORKS; SYSTEMS; INVESTMENT; ALLOCATION;
D O I
10.1049/iet-rpg.2019.0074
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents a bi-level model for expansion planning of generation systems. The proposed model endogenously determines the incentive to invest (guaranteed purchase contract) for wind and storage units. In the upper level of the proposed model, wind turbines and compressed air storage systems focus on maximising their profits by presenting a strategic offering, while at the lower level, there is an independent system operator with the purpose of increasing social welfare run the market clearing equations. In solving the bi-level model, the Karush-Kuhn-Tucker conditions are used to develop the mathematical program with equilibrium constraints. The problem was first linearised and then solved by GAMS software. The outputs of this problem are the installation time and capacity of the wind and storage units and the price of the purchase contract. The obtained results were compared with other existing studies for verification purposes.
引用
收藏
页码:1544 / 1553
页数:10
相关论文
共 50 条
  • [1] A bi-level model for co-expansion planning of generation and energy storage system (ESS) with contract pricing
    Rafiei, Seyed Arash
    Rafiei, Seyed-Raza
    Goldani, Saeedreza
    Falaghi, Hamid
    IET RENEWABLE POWER GENERATION, 2021, 15 (11) : 2526 - 2539
  • [2] Bi-level model for transmission expansion planning in the energy and reserve market
    Liu F.
    Su Y.
    Gou J.
    Li C.
    Xu W.
    Liu Y.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (15): : 33 - 42
  • [3] Cooperative planning model of renewable energy sources and energy storage units in active distribution systems: A bi-level model and Pareto analysis
    Li, Rui
    Wang, Wei
    Wu, Xuezhi
    Tang, Fen
    Chen, Zhe
    ENERGY, 2019, 168 : 30 - 42
  • [4] A Bi-level Programming Model for Distribution Network Expansion Planning with Distributed Generations and Energy Storage Systems
    Wang, Honghao
    Shi, Libao
    Ni, Yixin
    2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [5] Bi-Level Approach to Distribution Network and Renewable Energy Expansion Planning Considering Demand Response
    Asensio, Miguel
    Munoz-Delgado, Gregorio
    Contreras, Javier
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (06) : 4298 - 4309
  • [6] Bi-level optimal planning model for energy storage systems in a virtual power plant
    Li, Jinghua
    Lu, Bo
    Wang, Zhibang
    Zhu, Mengshu
    RENEWABLE ENERGY, 2021, 165 : 77 - 95
  • [7] A Bi-level optimization for the planning of microgrid with the integration of hydrogen energy storage
    Nguyen, Quoc Minh
    Nguyen, Duy Linh
    Nguyen, Quoc Anh
    Pham, Tuan Nghia
    Phan, Quynh Trang
    Tran, Manh Hung
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 63 : 967 - 974
  • [8] A Bi-level Planning Method of Distributed Renewable Energy Based on Cluster Division
    Li, Xiang
    Li, Gaoming
    Wang, Zefu
    Kuang, Zijia
    Chen, Tingwei
    Wang, Tianlun
    2022 12TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS, ICPES, 2022, : 977 - 981
  • [9] Generation Expansion Planning Considering Discrete Storage Model and Renewable Energy Uncertainty: A Bi-Interval Optimization Approach
    Wang, Siyuan
    Geng, Guangchao
    Jiang, Quanyuan
    Bo, Rui
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (03) : 2973 - 2983
  • [10] Optimization of Charging Station Capacity Based on Energy Storage Scheduling and Bi-Level Planning Model
    Wang, Wenwen
    Liu, Yan
    Fan, Xinglong
    Zhang, Zhengmei
    WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (08):