A User-Friendly Transactive Coordination Model for Residential Prosumers Considering Voltage Unbalance in Distribution Networks

Author(s):  
Hossein Saber ◽  
Mehdi Ehsan ◽  
Moein Moeini-Aghtaie ◽  
Hossein Ranjbar ◽  
Matti Lehtonen
Author(s):  
Anastasios C. Papachristou ◽  
Ahmed S. A. Awad ◽  
Dave Turcotte ◽  
Steven Wong ◽  
Alexandre Prieur

Author(s):  
Zhengyuan Guan ◽  
Yuan Liao

Abstract This paper presents a new composite approach based on wavelet-transform and ANN for islanding detection of distributed generation (DG). The proposed method first uses wavelet-transform to detect the occurrence of events, and then uses artificial neural network (ANN) to classify islanding and non-islanding events. Total harmonic distortion and voltage unbalance are extracted as feature inputs for ANN classifier. The performance of the proposed method is tested by simulations for two typical distribution networks based on MATLAB/Simulink. The results show that the developed method can effectively detect islanding with low misclassification. The method has the advantages of small non-detection zone and robustness against noises.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1350 ◽  
Author(s):  
Nasim Jabalameli ◽  
Xianging Su ◽  
Sara Deilami

The global acceptance and off-grid charging of plug-in electric vehicles (PEVs) are expected to grow tremendously in the next few years. Uncoordinated PEV charging can cause serious grid issues such as overloading of transformers and unacceptable voltage drops. Single-phase residential charging can also initiate or contribute to voltage unbalance conditions in the distribution networks. A potential solution and key challenge for PEV integration is shifting of the charging activities to off-peak periods. This paper proposes a new PEV coordination approach based on genetic algorithm (GA) optimization to perform online centralized charging and discharging considering transformer loading and node voltage magnitude and unbalance profiles. It allows PEV as source of active and reactive power to participate in energy market based on different prices during a day, without any degradation. Finally, the impacts of uncoordinated and the proposed GA coordinated PEV charging/discharging strategy are simulated for a real unbalanced Western Australian distribution network in the Perth solar city over 24 h.


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