This section explains how the coordination of PV inverters and energy storage devices, considering the interactions between the two hierarchies, can achieve a fully optimized solution that minimizes voltage control costs while reducing node voltage violations. 3.1. Conditional value-at-risk (CVaR) model
Notably, the flexibility in the charging and discharging of the energy storage system is more rationally applied. Furthermore, the proposed strategy allows DSOs to adjust voltage control schemes flexibly, based on robustness and economic requirements. Several promising research directions merit further exploration.
A central-local coordinated voltage control framework using PV inverters is proposed. Both PV benefits and energy storage operational costs are considered in scheduling. Develop a proper battery degradation cost model to assess its operational costs. A data-driven distributionally robust MPC algorithm is used in uncertainty management.
In traditional power distribution networks, voltage control is typically managed through strategies such as line upgrades , the installation of power electronics-based reactive power compensation devices , , and the adjustment of on-load tap changers or shunt capacitors .
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