Sustainability · 2023 · 16 citations · 46 references
EngineeringIndustrial EngineeringOptimizationPower ElectronicsRenewable Energy SystemsDistributed Energy ResourcesPower Grid AnalysisSmart Grid SystemsSmart GridsVoltage RegulationVoltage RegulatorsActive Distribution NetworksAutomatic Voltage RegulationDistributed Generation ControlOptimal AllocationPhotovoltaic System OptimizationPower Factor ControlPower Generation SchedulingVolt-var Optimization
This paper presents an optimal allocation methodology of photovoltaic distributed generations (PVDGs) with Volt/Var control based on Automatic Voltage Regulations (AVRs) in active distribution networks considering the non-dispatchable mode of PVDG operation. In the proposed methodology, an intelligent coordinated Var control is activated via controlling the AVR tap position and the Var injection of PV inverters to achieve a compromise between reducing active and reactive power losses and enhancing voltage quality in a distribution network. Also, the scheduled power factor mode of operation is investigated for the PV inverters. Added to that, the proposed allocation methodology is handled on the basis of hourly loading variation under simultaneous control modes of PV inverters and AVR. Moreover, the impacts of the specified number of PVDGs are assessed on the distribution system’s performance. A recent effective optimizer of the slim mold algorithm (SMA) is dedicated to solving the proposed optimization framework. The simulation implementations are executed on a practical distribution network of the Kafr Rabea area related to South Delta Electricity Company in Egypt. Also, the application is conducted for a large-scale distribution network from the metropolitan area of Caracas. The proposed methodology provides superior performance in minimizing the active and reactive power losses and improving the voltage profile.
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Slime mould algorithm: A new method for stochastic optimization
Shimin Li, Huiling Chen, Mingjing Wang et al. · Future Generation Computer Systems · 2020 · 2.9K citations · Full text
Liying Wang, Qingjiao Cao, Zhenxing Zhang et al. · Engineering Applications of Artificial Intelligence · 2022 · 732 citations · Full text
Natural Sciences, Computational Engineering, Design Optimization +9