The emergence of DG, along with the anticipated integration of electric vehicles and flexible loads, presents unprecedented operational challenges for distribution grids (Turitsyn et al. 2011). Indeed, many utilities in the United States are presently grappling with the complexities associated with the assimilation of residential- and commercial-scale solar generation. On the other hand, contemporary DG units are furnished with advanced smart power inverters, characterized by two-way communication and computational capabilities. Consequently, they extend novel avenues for enhanced control capabilities (Schauder 2014). In this context, recent research endeavors have concentrated on the integration of smart inverters in the energy management system (EMS) of distribution grids (Turitsyn et al. 2011; Carvalho et al. 2008; Šulc et al. 2014). Voltage regulation, employing approximate grid models, is implemented through a multi-agent framework as detailed in reference (Baran and El-Markabi 2007). Additionally, local control algorithms are developed, as expounded in reference (Šulc et al. 2014). When utilizing the comprehensive exact AC grid model, the management of reactive power falls under the domain of the non-convex optimal power flow problem, as discussed in reference (Gan et al. 2014). In addition to harnessing the reactive power capabilities of smart inverters, the implementation of active power curtailment has been recommended as a supplementary service (Tonkoski et al. 2010; Dall’Anese et al. 2014; Su et al. 2014; Von Appen et al. 2014). Notably, droop based active power curtailment has been proposed as an efficient strategy for overvoltage concerns (Tonkoski et al. 2010). Existing energy management schemes enforce inverter related and voltage regulation-related constraints at all times. Nevertheless, the operation of forthcoming grids may gain advantages from harnessing hitherto untapped system flexibilities.