LAPSE:2019.0739
Published Article
LAPSE:2019.0739
Tie-Line Bias Control Applicability to Load Frequency Control for Multi-Area Interconnected Power Systems of Complex Topology
Chunyu Chen, Kaifeng Zhang, Kun Yuan, Xianliang Teng
July 26, 2019
The tie-line bias control (TBC) method has been widely used in the load frequency control (LFC) of multi-area interconnected systems. However, it should be questioned whether the conventional TBC can still apply to LFC when considering the complication of structures of power systems. LFC, in essence, is to stabilize system frequency/tie-line power by controlling controlled outputs’ area control error (ACE). In this paper, relations between LFC control variables and controlled outputs are expressed as a system of equations, based on which an exemplary ring network is studied. Sufficient and necessary conditions for TBC applicability is presented, and a novel LFC mode is proposed for a general ring network where TBC cannot work. Finally, TBC applicability to multi-area systems with general topology is studied, and a general LFC mode is proposed for systems where TBC is not definitely applicable, thus rendering routines that may guide LFC design of future power systems with more complex topologies.
Keywords
load frequency control, ring network, tie-line bias control (TBC) applicability, topology
Suggested Citation
Chen C, Zhang K, Yuan K, Teng X. Tie-Line Bias Control Applicability to Load Frequency Control for Multi-Area Interconnected Power Systems of Complex Topology. (2019). LAPSE:2019.0739
Author Affiliations
Chen C: Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China [ORCID]
Zhang K: Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China
Yuan K: Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China
Teng X: State Key Laboratory of Smart Grid Protection and Control, NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211106, China
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E78
Year
2017
Publication Date
2017-01-11
Published Version
ISSN
1996-1073
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PII: en10010078, Publication Type: Journal Article
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LAPSE:2019.0739
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doi:10.3390/en10010078
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Jul 26, 2019
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Jul 26, 2019
 
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Calvin Tsay
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