Performance evaluation of simple PV microgrid energy management system

Žnidarec, Matej; Šljivac, Damir; Došen, Dario; Smaragdakis, Branka Nakomcic

doi:10.1109/sst49455.2020.9264129

Cited by 3 publications

(1 citation statement)

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“…Optimization techniques mentioned in References [41,42] consider fewer constraints than the proposed approach. A similar optimization framework is used in Reference [43] for battery storage systems allocation in a microgrid with significant photovoltaic generation. Algorithms in References [21][22][23][24], if applied to the network simulated in Figure 5, would show better results in terms of reducing total network losses but an attempt to implement SVC on network buses selected by conventional algorithms would lead to legal, political and strategical challenges.…”

Section: Methodsmentioning

confidence: 99%

Influence of FACTS Device Implementation on Performance of Distribution Network with Integrated Renewable Energy Sources

et al. 2020

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In the modern power system, Flexible Alternating Current Transmission System (FACTS) devices are widely used. An increased share of the distributed generation (DG) and the development of microgrids change the power flows in the existing distribution networks as well as a conventional power flow direction from the transmission to the distribution network level which may affect the overall stability aspects. The paper shows the FACTS devices’ implementation influence on the performance of the distribution network with integrated renewable energy sources (RES) observing the aspects of the oscillatory stability and the low-voltage motor starting. The FACTS devices, in particular the static var compensators (SVC), have been allocated according to a novel algorithm proposed in the paper. The algorithm uses an iterative process to determine an optimal location for implementation and rating power of SVC considering active power losses minimization, improvement of the voltage profile and maximizing return of investment (ROI) of FACTS devices. Novel constraints—transformer station construction constraint, SVC industrial nominal power value constraint and the constraint of distribution system operator (DSO) economic willingness to investment in the distribution network development are considered in the proposed algorithm. The analysis has been performed on 20 kV rural distribution network model in DIgSILENT PowerFactory software.

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