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Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control
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DOI：10.1007/s11431-022-2352-9.png)
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摘要
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This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems. Based on an integral sliding mode control scheme, the proposed multi-agent system converges to an optimal solution to an economic dispatch problem before a fixed time. In addition, the proposed multi-agent system can suppress the disturbance in a fixed time. To reduce the cost of sliding mode controls, we propose a distributed event-triggered intermittent control which reduces the sliding mode control time by setting a control triggering rule on the basis of two boundary functions of a Lyapunov function. The simulation results of three power systems illustrate the characteristics and effectiveness of the theoretical results.
Keyword:
distributed optimization
economic dispatch problem
fixed-time robust optimization
event-triggered
intermittent control
期刊
IF:
4.9
论文数:
5.0K
被引数:
9.9K
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