Determining Penetration Limit Of Central Pvdg Topology Considering The Stochastic Behaviour Of Pv Generation And Loads To Reduce Power Losses And Improve Voltage Profiles

IET RENEWABLE POWER GENERATION(2020)

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摘要
Distributed generation (DG) has rapidly increased due to many technical, environmental and economical benefits. One of the DG application challenges is to find a proper area to incorporate the DG associated to a particular location. In this study, a central photovoltaic distributed generation (PVDG) topology is proposed to distribute the optimal sizes to the optimal locations. Uncertainties of load demand and renewable power generation are also taken into consideration of the optimisation problem. This study determines the deterministic and probabilistic penetration limits based on the distribution network topologies, considering the PVDG significant impact on active power losses reduction and voltage profiles improvement. The effectiveness of the proposed topology was validated on 33- and 69-bus distribution networks adopting Monte Carlo simulation method, Newton-Raphson load flow method and biogeography based optimisation. From the results, the voltage profiles, active power loss reduction, DG capacity required and penetration limit have shown better performances on the central PVDG topology over the bus dedicated PVDG topology.
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关键词
Monte Carlo methods, optimisation, distribution networks, photovoltaic power systems, distributed power generation, load flow, stochastic processes, active power loss reduction, DG capacity, penetration limit, central PVDG topology, stochastic behaviour, voltage profiles, environmental benefits, economical benefits, DG application challenges, optimal locations, load demand, renewable power generation, distribution network topologies, PVDG significant impact, active power losses reduction, 69-bus distribution networks, biogeography based optimisation, PV generation, PV loads, central photovoltaic distributed generation topology, optimisation problem, deterministic penetration limits, probabilistic penetration limits, 33-bus distribution networks, Monte Carlo simulation, N-R load flow method, bus dedicated PVDG topology
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