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Local voltage control strategy of active distribution network with PV reactive power optimization

The increasing penetration of photovoltaics (PVs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The centralized control limited by the computational and communicational burdens is difficult to meet the requirement of fast voltage and reactive power control. Local voltage control based on the real-time measurements has a fast response to the frequent PV fluctuations. In this paper, a local voltage control strategy of ADNs is proposed, in which the local Q-V control curve is defined as piecewise linear functions. PV inverters equipped with Q-V control curve react to the local voltage measurement to adjust reactive power compensation. A parameters optimization model of local control curve is also built to improve the system voltage profile. By applying the linearization, the original nonconvex mixed-integer nonlinear programming (MINLP) model is converted into an effectively solved mixed-integer linear programming (MILP) model. Case studies on the IEEE 69-node system are conducted to verify the effectiveness of the proposed control strategy.