Abstract
To reduce the frequency of data exchange in power grid, a novel self-triggered consensus-based optimization algorithm for economic dispatch problem (EDP) is proposed for switching topologies, which guarantees that the increment cost converges to an optimal consensus value after iterations. In this brief, sampled-data framework is employed to complete the implementation of algorithm digitally. Based on that, self-triggered mechanism based approach can also avoid infinite number of communication in finite time, which can save communication cost between generators. Further, a time-varying gain function is designed to derive a tradeoff between convergence rate and triggering performance. Finally, some simulation examples are given to illustrate the effectiveness of the relevant theoretical results.
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