Security constrained optimal power flow in a power system based on energy storage system with high wind penetration

被引:2
|
作者
Ebrahimi, H. [1 ]
Abapour, M. [1 ]
Ivatloo, B. Mohammadi [1 ]
Golshannavaz, S. [2 ]
机构
[1] Univ Tabriz, Dept Elect & Comp Engn, Tabriz, Iran
[2] Urmia Univ, Dept Elect Engn, Orumiyeh, Iran
关键词
Renewable; Uncertainty; Security-Constrained Optimal Power Flow (SCOPE); Energy Storage System (ESS); Security analysis; OPF;
D O I
10.24200/sci.2020.53865.3460
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study is focused on assessing the effect of Energy Storage System (ESS) on security improvement of power systems hosting remarkable renewable energy resources. To this end, the presence of ESS is suitably included in Security-Constrained Optimal Power Flow (SCOPF) model; the required technical amendments are hence considered. To launch a realistic model, ramping constraints of thermal units are also taken into account, which limit the generators from completely responding to power shortfalls. Considering the high penetration level of renewable generations, different scenarios of outages in transmission lines and generators are simulated to measure the Line Outage Distribution Factor (LODF) and Power Transfer Distribution Factor (PTDF). Also, in order to illustrate the economic impact of wind power generation curtailment and load shedding, Values of two penalty parameters of Wind Curtailment (VWC) and Value Of Loss of Load (VOLL) are considered in the model. Two test systems, including a PJM 5-bus system and an IEEE 24-bus RTS, are put under numerical studies to assess the possible impact of ESS on security improvement of the investigated systems. The obtained results are discussed in depth. (C) 2022 Sharif University of Technology. All rights reserved.
引用
收藏
页码:1475 / 1485
页数:11
相关论文
共 50 条
  • [1] Optimal Allocation of Energy Storage System in Transmission System Considering Wind Power
    Al Ahmad, Ahmad K.
    Sirjani, Reza
    2020 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2020), 2020, : 181 - 187
  • [2] Risk-Based Admissibility Analysis of Wind Power Integration into Power System With Energy Storage System
    Zhang, Yumin
    Han, Xueshan
    Xu, Bo
    Wang, Mingqiang
    Ye, Pingfeng
    Pei, Younan
    IEEE ACCESS, 2018, 6 : 57400 - 57413
  • [3] Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data
    Yang, Hongming
    Liang, Rui
    Yuan, Yuan
    Chen, Bowen
    Xiang, Sheng
    Liu, Junpeng
    Zhao, Huan
    Ackom, Emmanuel
    APPLIED ENERGY, 2022, 313
  • [4] Small-signal stability constrained optimal power flow of power system with DFIGs considering wind power uncertainty
    Yang, Ziqing
    Lin, Shunjiang
    Yang, Yuerong
    Chen, Shiyuan
    Liu, Mingbo
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 154
  • [5] A Review on Power System Security Issues in the High Renewable Energy Penetration Environment
    Aryani, Dwi Riana
    Song, Hwachang
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2024, 19 (08) : 4649 - 4665
  • [6] Agent-Based Distributed Security Constrained Optimal Power Flow
    Mohammadi, Javad
    Hug, Gabriela
    Kar, Soummya
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (02) : 1118 - 1130
  • [7] Unit commitment in a high wind-power penetration system
    Wu, Yuan-Kang
    Chang, Shih-Ming
    Chang, Li-Tzo
    Dinh Thanh Viet
    5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS ENGINEERING (CPESE 2018), 2019, 156 : 18 - 22
  • [8] Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station Unit Commitment Based
    Hao Y.
    Su D.
    Lei Z.
    Energy Engineering: Journal of the Association of Energy Engineering, 2022, 119 (05): : 2087 - 2104
  • [9] Modeling and Simulation Analysis of Hybrid Energy Storage System Based on Wind Power Generation System
    Wang, Jiancheng
    Xu, Yonghua
    Lv, Meilei
    2018 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2018, : 422 - 427
  • [10] Energy storage capacity allocation and influence factor analysis of a power system with a high proportion of wind power
    Sun W.
    Luo J.
    Zhang J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (15): : 9 - 18