Distributed Coordination of Networked Microgrids for Voltage Support in Bulk Power Grids

被引:1
作者
Gray, Nathan [1 ]
Sadnan, Rabayet [2 ]
Bose, Anjan [1 ]
Dubey, Anamika [1 ]
Vu, Thanh Long [2 ]
Xie, Jing [2 ]
Marinovici, Laurentiu D. [2 ]
Schneider, Kevin P. [2 ]
Klauber, Cecilia [3 ]
Trinh, Wei [3 ]
机构
[1] Washington State Univ WSU, Sch Elect Engn & Comp Sci, Pullman, WA 99163 USA
[2] Pacific Northwest Natl Lab, Richland, WA 99354 USA
[3] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA
关键词
Reactive power; Voltage control; Microgrids; Substations; Power system stability; Consensus algorithm; Peer-to-peer computing; Collaborative autonomy; distributed control; consensus; voltage support; microgrid; distributed energy; OPTIMIZATION;
D O I
10.1109/TIA.2024.3429288
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The increasing deployment of distributed energy resources (DERs) and microgrids (MGs) in power distribution systems has enabled the adjustment of reactive power consumption as seen at the substation, which can be used to provide voltage support for the bulk power system (BPS). Leveraging this new capability will provide greater resiliency to the power system as a whole. The goal of this paper is to develop and compare three different algorithms, namely distributed optimal power flow, distributed consensus algorithm, and fully decentralized collaborative autonomy for unbalanced distribution systems for microgrid coordination. These algorithms use networked MGs to support the BPS voltage when a contingency at the bulk grid results in abnormally low voltages, which may be a precursor to voltage collapse. Our comparative analysis includes both qualitative and quantitative assessments of the three algorithms and a discussion of the trade-offs between the decentralized and distributed methods in normal and disrupted conditions. Each algorithm was evaluated on the modified IEEE 13-bus system and a real power distribution system in North America that encompasses more than 4500 buses. Each algorithm excels differently and may be suited for different scenarios depending on the condition, operations, and priorities of the power and communication systems.
引用
收藏
页码:7971 / 7981
页数:11
相关论文
共 24 条
[1]   Impact analysis of DERs on bulk power system stability through the parameterization of aggregated DER_a model for real feeders [J].
Alvarez-Fernandez, Inalvis ;
Ramasubramanian, Deepak ;
Sun, Wei ;
Gaikwad, Anish ;
Boemer, Jens C. ;
Kerr, Stephen ;
Haughton, Daniel .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 189
[2]   Decentralized Failure-Tolerant Optimization of Electric Vehicle Charging [J].
Aravena, Ignacio ;
Chapin, Steve J. ;
Ponce, Colin .
IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (05) :4068-4078
[3]   Optimal Regulation of Virtual Power Plants [J].
Dall'Anese, Emiliano ;
Guggilam, Swaroop S. ;
Simonetto, Andrea ;
Chen, Yu Christine ;
Dhople, Sairaj V. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (02) :1868-1881
[4]   Coordination of DERs and Flexible Loads to Support Transmission Voltages in Emergency Conditions [J].
Escobar, Francisco ;
Viquez, Juan M. ;
Garcia, Jorge ;
Aristidou, Petros ;
Valverde, Gustavo .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2022, 13 (03) :1344-1355
[5]  
Gray N., 2023, P IEEE IND APPL ANN, P1
[6]  
Jain R. K., 1984, Tech. Rep. DEC-TR-301, V21
[7]   Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices [J].
Jha, Rahul Ranjan ;
Dubey, Anamika ;
Liu, Chen-Ching ;
Schneider, Kevin P. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (03) :1801-1813
[8]   Collaborative and Autonomous Black Start: Theory and Implementation [J].
Klauber, Cecilia ;
Burroughs, Hannah ;
Zhou, Alec .
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT, 2023,
[9]   Networked Microgrids for Enhancing the Power System Resilience [J].
Li, Zhiyi ;
Shahidehpour, Mohammad ;
Aminifar, Farrokh ;
Alabdulwahab, Ahmed ;
Al-Turki, Yusuf .
PROCEEDINGS OF THE IEEE, 2017, 105 (07) :1289-1310
[10]  
Morin J, 2016, IEEE PES INNOV SMART