is proposed to find the most appropriate solution from the Pareto set. As the main limit of the proposed model, the authors emphasized the dependence of such a model on the communication system to ensure coordination between controllable units. MISOCP model with DistFlow power flows for improving voltage conditions in ADN is proposed in [11]. Control curves of DG obtained from local measurements and OLTC, as well as CB switching operations, are optimally operated in day-ahead scheduling, and their settings are sent to corresponding DG inverters which adjust their active and reactive powers in intra-day control for an optimal operation of ADN. A multi-objective problem considering losses, voltage deviation, and APC minimization is turned into a single-objective problem using the weighted sum method. Due to local control measurements, the authors concluded that, in this case, a decentralized strategy can represent a promising solution as well as the development of communication between control devices. As DG, except PVs, WTs are considered in [11; 12]. The authors in [12], presented an optimization scheme to minimize network and neutral wire losses and voltage deviations. The optimization model is tested on an unbalanced IEEE-13 bus network with connected load types. The optimal solution is obtained by the SQP method and suggests that an optimal DG operation can be used in reducing network unbalance. Furthermore, ref. [13] presents a two-layer stochastic optimization model for voltage control in ADNs. The main objective of the upper layer is to minimize OLTC and CB operation, loss, and APC. Decision variables in the upper layer are OLTC and CB taps and PV active and reactive powers and the control period is 1 h. According to obtained tap positions from the upper layer, only PV active and reactive power is controlled in the second layer with a 5 min time period and the objectives are losses and APC minimization. Power flow equations are transformed into linearized DistFlow equations. A combination of centralized and local PV inverter active and reactive power control is presented in [14]. The proposed OPF-based model is divided into two phases. The first phase presents PV output optimization considering the minimization of network loss and APC of 15 min periods. The full AC OPF problem is converted into the SOCP model, and DistFlow power flow is used. Local control is related to system stability after short-term fluctuations and tracks. The main objective in [15] is to minimize active and reactive powers at each node to mitigate voltage violations in the unbalanced distribution network. Different control schemes, including Volt-Var, Volt-Watt and their combination, are presented and compared; however, the main goal is to determine reactive power support and its effect on voltages, network losses and APC. The authors conclude that this approach may lead to economic benefits from PV inverters as well as their improvement with communication systems and intelligent monitoring infrastructures. In [16], reactive power from the PV inverter and APC are studied in terms of enhancing operation performance in unbalanced ADNs. OPF-based problem is proposed with multiple objectives: voltage deviations and unbalance, network losses, PV generation and APC costs aggregated into a single-objective problem and solved by a SQP solution method. According to the obtained results, the authors highlight some factors for the future: the financial benefit of reactive power support, better communication architecture and control procedure. Remote voltage estimation scheme in ADNs that applies OLTC is proposed in [17]. First, this scheme identifies the number of loads in each phase and after that estimates voltages according to measurements in the transformer station. This approach to the use of OLTC represents a promising solution for future DNs in terms of their more cost-effective operation. On the other hand, refs. [18; 19; 20; 21] include APC fairness approaches to satisfy both utilities and PV owners.