Decentralized constrained optimization with dynamic penalty for harmonics estimation

A novel decentralized method for harmonics detection and suppression is proposed. Compared with the traditional centralized style, harmonics optimal estimation task in micro-grid system is scattered to smart phasor measurement unit (PMU) nodes without a monitoring host. Similar to the structure, mechanism and characteristics of biological communities, a smart PMU can communicate with adjacent nodes and operate collaboratively to complete harmonics optimal estimation in a new fully distributed flat network. The task is formulated as a constrained optimization problem conducted using basic physical equations and solved by decentralized approach with varying penalty parameter. Convergence property of the novel method is analyzed theoretically. Simulation results of the harmonics estimation in micro-grid system illustrate the effectiveness of the proposed method.

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