Multi-agent task planning and resource apportionment in a smart grid

Min Chen (), Ashutosh Sharma (), Jyoti Bhola (), Tien V. T. Nguyen () and Chinh V. Truong ()
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Min Chen: Hohhot Vocational College
Ashutosh Sharma: Southern Federal University
Jyoti Bhola: National Institute of Technology
Tien V. T. Nguyen: Industrial University of Ho Chi Minh City
Chinh V. Truong: Industrial University of Ho Chi Minh City

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 1, No 45, 444-455

Abstract: Abstract Nowadays, in different fields, tremendous attention is received by the Multi-agent systems for complex problem solutions with smaller task subdivision. Multiple inputs are utilized, e.g., history of actions, interactions with its neighboring agents by an agent. By the existing techniques for the task planning of the control structure the low efficiency is exhibited. By utilizing the sole numerical analysis method for a complicated distributed resource planning problem, the satisfactory optimal solution is impossible to obtain. In this paper, the control structure model is presented based on the multi-agents, in which the multi-agents superiority is exploited for complex task achievement. The collaboration of multi-agent framework is redefined, and the local conflict coordination mechanism is developed. Moreover, the high adaptability and superior cooperation are exhibited by the presented technique. The function value and its time–space complexity are analyzed, and it is obtained that the lower objective function value is achieved by the algorithm and the better convergence and adaptability are exhibited. The presented technique is 37–43% better than the Hierarchical Task Network Planning (HTN) technique for different time slots. The performance of the presented technique is 29–34% better compared to the Time Preference HTN technique in terms of function value. The performance of the proposed technique is better compared to the existing techniques in terms of obtained function values.

Keywords: Multi-agent systems; Hierarchical task network planning; Time preference; Multi-agents superiority (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s13198-021-01467-3

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