A bi-level optimization model for operation of distribution networks with micro-grids

被引:95
|
作者
Bahramara, S. [1 ]
Moghaddam, M. Parsa [1 ]
Haghifam, M. R. [1 ]
机构
[1] Tarbiat Modares Univ, Fac Elect & Comp Engn, Tehran, Iran
关键词
Active distribution grids; Bi-level optimization problem; Microgrids; Karush-Kahn-Tucker conditions; Dual theory; DISTRIBUTION-SYSTEMS; ENERGY; PENETRATION; STRATEGIES; FRAMEWORK; MARKETS;
D O I
10.1016/j.ijepes.2016.03.015
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Active distribution grids (ADGs) consist of several distributed generations (DGs) and controllable loads (CLs). These resources are utilized in the form of several microgrids (MGs) which in turn facilitate managing of ADGs. Therefore, the problem of distribution company (DISCO) and MGs operation requires a hierarchical decision-making framework. An attempt is made in this paper to model such framework as a bi-level optimization problem. In the proposed bi-level model, the objective of the upper level (leader) problem is to maximize the profit of DISCO, and the objective of the lower level (follower) problems is to minimize the cost of MGs. The resulting model is a nonlinear bi-level problem which is transformed into a linear single-level problem through Karush-Kuhn-Tucker (KKT) conditions and dual theory. Since the proposed model creates a retail electricity market in distribution grid, two frameworks are considered for this market: various and uniform retail electricity prices. To illustrate the effectiveness of the model, a hypothetical distribution grid is considered as the case study. The impacts of the market price and various demand levels of MGs on the results are investigated in two scenarios. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:169 / 178
页数:10
相关论文
共 50 条
  • [21] Network Reconfiguration for Distribution System with Micro-Grids
    Yu Xiaodan
    Jia Hongjie
    Wang Chengshan
    Wei Wei
    Zeng Yuan
    Zhao Jinli
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 895 - 898
  • [22] Bi-level optimization model of an active distribution network based on demand response
    Chen Q.
    Wang W.
    Wang H.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (16): : 1 - 13
  • [23] The Application of Fuzzy Bi-level Programming Model in Optimization of the Grain Distribution Network
    Bin, Xu
    Fang, Bai
    ICPOM2008: PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE OF PRODUCTION AND OPERATION MANAGEMENT, VOLUMES 1-3, 2008, : 433 - 437
  • [24] The Study on Supply Chain Distribution Optimization Based on Bi-level Programming Model
    Yang, Jianhua
    Hao, Zhangang
    2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 3, PROCEEDINGS, 2009, : 7 - 10
  • [25] Research on Bi-level Optimal Operation of Microgrid in Distribution Network
    Cai, Yongqing
    Li, Yuwei
    Li, Peng
    PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 1597 - 1602
  • [26] A Bi-level Model for the Resilient Operation of Distribution Systems using a Matheuristic Nested Decomposition
    Gomes, Leonardo L.
    Giraldo, Juan S.
    Castro, Carlos A.
    2022 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST, 2022,
  • [27] Energy Storage Sharing Strategy in Distribution Networks Using Bi-level Optimization Approach
    Chen, Huimiao
    Yu, Yang
    Hu, Zechun
    Luo, Haocheng
    Tan, Chin-Woo
    Rajagopal, Ram
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [28] Location and Sizing of Micro-Grids to Improve Continuity of Supply in Radial Distribution Networks
    Postigo Marcos, Fernando
    Mateo Domingo, Carlos
    Gomez San Roman, Tomas
    Cossent Arin, Rafael
    ENERGIES, 2020, 13 (13)
  • [29] Advancing Model Pruning via Bi-level Optimization
    Zhang, Yihua
    Yao, Yuguang
    Ram, Parikshit
    Zhao, Pu
    Chen, Tianlong
    Hong, Mingyi
    Wang, Yanzhi
    Liu, Sijia
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [30] Model Predictive Traffic Control by Bi-Level Optimization
    Stoilova, Krasimira
    Stoilov, Todor
    APPLIED SCIENCES-BASEL, 2022, 12 (09):