Consensus of cyber-physical power systems based on multi-agent systems with communication constraints

doi:10.1007/s40565-018-0491-4

Home > Archive>Volume 7, Issue 5, 2019 >1081-1093. DOI:10.1007/s40565-018-0491-4

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Consensus of cyber-physical power systems based on multi-agent systems with communication constraints

DOI:

10.1007/s40565-018-0491-4

Author:

Chi HUANG
Chi HUANG
1 School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China 2 School of Mathematics, Southeast University, Nanjing 210096, China
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Chengli FENG
Chengli FENG
College of Mathematics, Taiyuan University of Technology, Taiyuan 030024, China
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Jinde CAO
Jinde CAO
School of Mathematics, Southeast University, Nanjing 210096, China
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Affiliation:

1 School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China 2 School of Mathematics, Southeast University, Nanjing 210096, China 3 College of Mathematics, Taiyuan University of Technology, Taiyuan 030024, China

Fund Project:

This work was jointly supported by the Research Project Supported by the Shanxi Scholarship Council of China (No. 2015044), the Fundamental Research Project of Shanxi Province (No. 2015021085), the National Science Foundation of China (No. 61603268, No. 61272530 and No. 61573096).

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Abstract:

The consensus protocol of cyber-physical power systems is proposed based on fractional-order multi-agent systems with communication constraints. It aims to enable each generator to reach a time-varying common rotor angle and rotor speed. Communication constraints including event-triggered sampling and partial information transmission are considered to render the consensus protocol more realistic. The Zeno behavior is excluded during the system sampling process. A sufficient condition is derived to solve the consensus problem. The effectiveness of the proposed consensus protocol is demonstrated by a numerical example.

Key words:Cyber-physical power system, Fractional-ordersystem, Multi-agent system, Communication constraint

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Online: September 24,2019
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