Economic-Driven Frequency Regulation in Multi-Terminal HVDC Systems: A Cooperative Distributed Approach

Yubin Jia; Ke Meng; Changyin Sun; Liang Yuan; Zhao Yang Dong

doi:10.1109/TPWRS.2019.2953876

Economic-Driven Frequency Regulation in Multi-Terminal HVDC Systems: A Cooperative Distributed Approach

Yubin Jia
, Ke Meng
, Changyin Sun^*
, Liang Yuan
, Zhao Yang Dong

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

28 Citations (Scopus)

Abstract

In this paper, a distributed economic model predictive control (EMPC) method is proposed for economic operation and frequency regulation in isolated AC subsystems interconnected through multi-terminal HVDC (MTDC) transmission system. Economic-driven frequency regulation, including economic operation and frequency regulation, normally implemented in a separate and hierarchical way, can be integrated through the proposed EMPC. Instead of competing with neighboring subsystems, the proposed distributed EMPC encourages cooperation among the interconnected subsystems, improving system-wide control performance. A suitable Lyapunov function is utilized to prove the stability of the proposed method. Simulations are used to demonstrate the performance of the proposed EMPC method.

© 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Original language	English
Article number	8903458
Pages (from-to)	2245-2255
Journal	IEEE Transactions on Power Systems
Volume	35
Issue number	3
Online published	18 Nov 2019
DOIs	https://doi.org/10.1109/TPWRS.2019.2953876
Publication status	Published - May 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

distributed control
economic model predictive control
economic operation
frequency regulation
Multi-terminal HVDC

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10.1109/TPWRS.2019.2953876

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title = "Economic-Driven Frequency Regulation in Multi-Terminal HVDC Systems: A Cooperative Distributed Approach",

abstract = "In this paper, a distributed economic model predictive control (EMPC) method is proposed for economic operation and frequency regulation in isolated AC subsystems interconnected through multi-terminal HVDC (MTDC) transmission system. Economic-driven frequency regulation, including economic operation and frequency regulation, normally implemented in a separate and hierarchical way, can be integrated through the proposed EMPC. Instead of competing with neighboring subsystems, the proposed distributed EMPC encourages cooperation among the interconnected subsystems, improving system-wide control performance. A suitable Lyapunov function is utilized to prove the stability of the proposed method. Simulations are used to demonstrate the performance of the proposed EMPC method. {\textcopyright} 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.",

keywords = "distributed control, economic model predictive control, economic operation, frequency regulation, Multi-terminal HVDC",

author = "Yubin Jia and Ke Meng and Changyin Sun and Liang Yuan and Dong, \{Zhao Yang\}",

year = "2020",

month = may,

doi = "10.1109/TPWRS.2019.2953876",

language = "English",

volume = "35",

pages = "2245--2255",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "IEEE",

number = "3",

}

TY - JOUR

T1 - Economic-Driven Frequency Regulation in Multi-Terminal HVDC Systems

T2 - A Cooperative Distributed Approach

AU - Jia, Yubin

AU - Meng, Ke

AU - Sun, Changyin

AU - Yuan, Liang

AU - Dong, Zhao Yang

PY - 2020/5

Y1 - 2020/5

N2 - In this paper, a distributed economic model predictive control (EMPC) method is proposed for economic operation and frequency regulation in isolated AC subsystems interconnected through multi-terminal HVDC (MTDC) transmission system. Economic-driven frequency regulation, including economic operation and frequency regulation, normally implemented in a separate and hierarchical way, can be integrated through the proposed EMPC. Instead of competing with neighboring subsystems, the proposed distributed EMPC encourages cooperation among the interconnected subsystems, improving system-wide control performance. A suitable Lyapunov function is utilized to prove the stability of the proposed method. Simulations are used to demonstrate the performance of the proposed EMPC method. © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

AB - In this paper, a distributed economic model predictive control (EMPC) method is proposed for economic operation and frequency regulation in isolated AC subsystems interconnected through multi-terminal HVDC (MTDC) transmission system. Economic-driven frequency regulation, including economic operation and frequency regulation, normally implemented in a separate and hierarchical way, can be integrated through the proposed EMPC. Instead of competing with neighboring subsystems, the proposed distributed EMPC encourages cooperation among the interconnected subsystems, improving system-wide control performance. A suitable Lyapunov function is utilized to prove the stability of the proposed method. Simulations are used to demonstrate the performance of the proposed EMPC method. © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

KW - distributed control

KW - economic model predictive control

KW - economic operation

KW - frequency regulation

KW - Multi-terminal HVDC

UR - https://www.scopus.com/pages/publications/85083764095

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85083764095&origin=recordpage

U2 - 10.1109/TPWRS.2019.2953876

DO - 10.1109/TPWRS.2019.2953876

M3 - RGC 21 - Publication in refereed journal

SN - 0885-8950

VL - 35

SP - 2245

EP - 2255

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 3

M1 - 8903458

ER -

Economic-Driven Frequency Regulation in Multi-Terminal HVDC Systems: A Cooperative Distributed Approach

Abstract

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Research Keywords

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