Swiss TSO experience with an ac security-constrained optimal power flow application for real-time security management

被引:0
|
作者
Lopez, Pablo Centeno [1 ]
Sadikovic, Rusejla [1 ]
Pinto, Herminio [2 ]
Magnago, Fernando [2 ]
机构
[1] Swissgrid AG, Werkstr 10, CH-5080 Laufenburg, Switzerland
[2] Nexant Inc, Chandler, AZ 85226 USA
关键词
load flow control; optimal scheduling; power system security; SYSTEMS;
D O I
暂无
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
Swissgrid (the Swiss TSO) introduced a new framework for real-time network security management supported by three main pillars: a) a revised operational planning procedure; b) a near real-time decision support tool performing an unambiguous optimal redispatch of power plants based on an AC security-constrained optimal power flow (AC-SCOPF); and c) a financial incentive for power plants involved in these redispatch procedures. This paper outlines these main concepts and describes in detail the practical aspects of the used AC-SCOPF tool. These new procedures and tool are in operation since early 2013. The paper also describes the main challenges faced during the AC-SCOPF tool integration into the Swissgrid operations.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Probabilistic security-constrained AC optimal power flow
    Vrakopoulou, Maria
    Katsampani, Marina
    Margellos, Kostas
    Lygeros, John
    Andersson, Goran
    2013 IEEE GRENOBLE POWERTECH (POWERTECH), 2013,
  • [2] Model Predictive Control of Security in Real-Time via AC Security Constrained Optimal Power Flow
    Zarrin, Arman
    Capitanescu, Florin
    Hashmi, Md Umar
    Alizadeh, Mohammad Iman
    Van Hertem, Dirk
    2024 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES, SEST 2024, 2024,
  • [3] Flexible Security-Constrained Optimal Power Flow
    Thomas, James Jamal
    Grijalva, Santiago
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) : 1195 - 1202
  • [4] Reactive Power Planning using Security-Constrained AC Optimal Power Flow and Sensitivity Analyses
    Alkhraijah, Mohannad
    Alowaifeer, Maad
    Molzahn, Daniel K.
    Li, Xiawen
    Till, Micah
    2021 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2021,
  • [5] Security-Constrained Optimal Power and Natural-Gas Flow
    Correa-Posada, Carlos M.
    Sanchez-Martin, Pedro
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) : 1780 - 1787
  • [6] Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees
    Li, Hang
    Zhang, Zhe
    Yin, Xianggen
    Zhang, Buhan
    ENERGIES, 2020, 13 (09)
  • [7] A new approach to security-constrained optimal power flow analysis
    Yan, P
    Sekar, A
    2001 POWER ENGINEERING SOCIETY SUMMER MEETING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2001, : 1462 - 1467
  • [8] Adversarially Robust Learning for Security-Constrained Optimal Power Flow
    Donti, Priya L.
    Agarwal, Aayushya
    Bedmutha, Neeraj Vijay
    Pileggi, Larry
    Kolter, J. Zico
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [9] A Comparative Study of Preventive Security-Constrained Optimal Power Flow
    Che, Liang
    Zhang, Xiaping
    Li, Zhiyi
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [10] AC-DC security-constrained optimal power flow for the Australian National Electricity Market
    Mohy-ud-din, Ghulam
    Heidari, Rahmat
    Ergun, Hakan
    Geth, Frederik
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 234