Abstract

Voltage and reactive power control via inverter-based distributed generators (DGs) is necessary for distribution networks to mitigate voltage violations. This article presents an accelerated alternating direction method of multiplier (ADMM)-based reactive power optimization algorithm in a fully distributed manner. In the proposed method, each area optimizes its own subproblem with limited boundary information communicating with neighbors to protect information privacy. Based on the distributed quasi-Newton technique, the second-order curvature of the dual function is estimated and applied to improve the convergence property of the ADMM. Simulation results have verified the effectiveness of the proposed method compared with other gradient-based methods, such as ADMM and dual decomposition. The proposed acceleration strategy can also be extended to other gradient-based distributed optimization in power systems.

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