Real-Time Cyber-Physical Power System Testbed for Optimal Power Flow Study Using Co-Simulation Framework

被引:2
作者
Pham, Le Nam Hai [1 ]
Wagle, Raju [2 ]
Tricarico, Gioacchino [3 ]
Felipe Silva Melo, Andre [4 ]
Rosero-Morillo, Veronica [5 ]
Shukla, Anup [6 ]
Gonzalez-Longatt, Francisco [1 ,7 ]
机构
[1] Univ South Eastern Norway, Digital Energy Syst Lab, N-3918 Porsgrunn, Norway
[2] Aibel AS, Dept Concept & Studies, N-1383 Asker, Norway
[3] Politecn Bari, Dept Elect & Informat Engn, Bari, Italy
[4] Univ Seville, Dept Elect Engn, Seville, Spain
[5] Natl Univ San Juan, Inst Elect Energy IEE, San Juan, Argentina
[6] IIT Jammu, Elect Engn Dept, Ban 181221, Jammu & Kashmir, India
[7] Loughborough Univ, Ctr Renewable Energy Syst Technol, Loughborough LE11 3TU, Leics, England
关键词
Co-simulation; cyber-physical power system; optimal power flow; real-time simulation;
D O I
10.1109/ACCESS.2024.3472748
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today's power system is transforming into an increasingly complex entity, consisting of numerous components, such as transmission lines, controllable loads, and especially different types of distributed renewable energy sources (DERs). With the growing integration of DERs into the grid, multiple operational challenges arise, including overvoltage, undervoltage, or increased energy losses. Resolving these issues demands the implementation of both advanced and effective control strategies. As the dynamic power system evolves by incorporating new technologies, these control strategies need to consider other different technical aspects, such as communication protocols or real-time considerations. Additionally, the rise of smart metering devices has transformed conventional power systems into cyber-physical power systems (CPPS), which can integrate the advanced control strategies into the cyber layer. Given the operating challenges and the integration of diverse technologies, it is proposed that a CPPS testbed platform constitutes an ideal solution for developing and validating technologies in future smart grids. For this purpose, this paper introduces a co-simulation framework for implementing a CPPS testbed, utilising the real-time simulator, Typhoon HIL, within a laboratory environment. Additionally, it presents a proposed optimal power flow (OPF) control strategy that emphasises two key objectives, minimisation of operating costs and power network loss. The investigation is illustrated by a modified version of IEEE 39-bus test system with the high integration of DERs. The findings indicate that adopting a CPPS testbed can be advantageous for implementing real-time research on monitoring and control in a wide area network.
引用
收藏
页码:150914 / 150929
页数:16
相关论文
共 54 条
[1]   Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia [J].
Acosta, Martha N. ;
Adiyabazar, Choidorj ;
Gonzalez-Longatt, Francisco ;
Andrade, Manuel A. ;
Torres, Jose Rueda ;
Vazquez, Ernesto ;
Riquelme Santos, Jesus Manuel .
ENERGIES, 2020, 13 (20)
[2]   A Hybrid Synchrophasor and GOOSE-Based Power System Synchronization Scheme [J].
Almas, Muhammad Shoaib ;
Vanfretti, Luigi .
IEEE ACCESS, 2016, 4 :4659-4668
[3]   GridSpice: A Distributed Simulation Platform for the Smart Grid [J].
Anderson, Kyle ;
Du, Jimmy ;
Narayan, Amit ;
El Gamal, Abbas .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) :2354-2363
[4]  
[Anonymous], IEC 61850-5
[5]  
[Anonymous], 2021, Website of Fglongatt-Lab: DigEnSys-Lab
[6]  
[Anonymous], 2011, IEEE Std C37.118.1-2011, P1, DOI [DOI 10.1109/IEEESTD.2011.6111219, 10.1109/IEEESTD.2011.6111219]
[7]  
[Anonymous], 2023, IEEE C37.118 Protocol
[8]   A review on synchrophasor communication system: communication technologies, standards and applications [J].
Appasani B. ;
Mohanta D.K. .
Protection and Control of Modern Power Systems, 2018, 3 (01)
[9]   PRACTICAL METHOD FOR THE DIRECT ANALYSIS OF TRANSIENT STABILITY [J].
ATHAY, T ;
PODMORE, R ;
VIRMANI, S .
IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1979, 98 (02) :573-584
[10]   Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization [J].
Biegler, L. T. ;
Zavala, V. M. .
COMPUTERS & CHEMICAL ENGINEERING, 2009, 33 (03) :575-582