This paper proposes a dual-layer coordinated framework that combines day-ahead battery energy storage system (BESS) scheduling with real-time Volt–VAr Control (VVC) for active distribution networks. The optimization minimizes distribution system technical losses while satisfying operational constraints related to voltage regulation, equipment loading, battery operation, voltage regulator (VR) tap commutation, and smart inverter (SI) operating limits defined by IEEE Std 1547-2018. The planning stage determines the optimal charging and discharging schedule of multiple BESS units over a 24-hour horizon, whereas the operational stage performs real-time VVC through the coordinated control of VRs, capacitor banks (CBs), and SI associated with distributed photovoltaic (DPV) and BESS units. The methodology was implemented in a Python–OpenDSS co-simulation environment and validated on a modified IEEE 34-bus feeder using real SCADA load measurements and solar irradiance data through daily and seasonal operating scenarios under both planning and actual operating conditions. Performance was also compared with conventional local VVC strategies. Results demonstrate that the proposed framework maintains voltages within prescribed limits, eliminates or substantially mitigates reverse power flow, reduces feeder peak demand, and significantly decreases network energy losses. Overall, the proposed strategy significantly enhances the operation of active distribution networks with high renewable energy penetration.
Active distribution networks with high penetration of PV, BESS, and EV charging face significant voltage regulation challenges and accelerated OLTC wear. This paper proposes a coordinated multi-layer voltage control framework operating across multiple time scales. It integrates fast local fuzzy Volt–Var and state-of-ch...
Weverson dos Santos Cirino, T. Soares, Israel Gondres Torné· Revista DCS· 0 citations
The increasing penetration of photovoltaic systems, battery storage and electric vehicles in low-voltage distribution networks poses significant operational challenges, including voltage regulation, thermal overload, and energy curtailment. This paper proposes an uncertainty-aware two-stage coordination framework. The...
Asaad Makhalfih, Ibrahim Anwar Ibrahim· IEEE Open Access Journal of...· 0 citations
The increasing photovoltaic (PV) penetration in distribution systems poses technical and economic challenges for both operation and planning. This paper proposes a short-term planning model formulated as a mixed-integer linear programming (MILP) problem that coordinates line reconductoring, allocation of fixed and sw...
J. V. G. de Araújo, João R. Muniz, W. Faria et al.· Journal of Control Automatio...· 0 citations
The increasing penetration of distributed energy resources and diverse load characteristics in interconnected multi-microgrid systems creates significant challenges for coordinated energy management and optimal resource planning. This study proposes a multi-objective optimization framework for the simultaneous sizing o...
The large-scale integration of photovoltaic generation into distribution grids has introduced significant operational challenges, including voltage excursions, reverse power flows, and increased variability. Battery energy storage systems (BESSs) offer a versatile solution by providing coordinated active- and reactive-...
L. Grisales-Noreña, Fiderman Machuca-Martínez, O. Montoya· The Scientist· 0 citations
This paper presents an energy-management and state-of-charge (SoC) balancing scheme, denoted OEMSS, for a DC microgrid comprising photovoltaic generation, a fuel-cell source, two energy storage systems (ESSs), and six household loads. A demand-driven power-allocation layer first determines whether generation is suffici...
M. Sadiq, Saher Javaid, Iacovos I. Ioannou et al.· Energies· 0 citations
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