Development of PV hosting-capacity prediction method based on Markov Chain for high PV penetration with utility-scale battery storage on low-voltage grid
The previous stochastic hosting capacity prediction method using theMonte Carlo method for high photovoltaic (PV) penetration with abattery energy storage system (BESS) required a large number ofcomputations to achieve the expected accuracy. The problem of highcomputational load must be addressed so that the electricaldistribution planner can practically use the PV hosting capacityprediction in actual situations. Therefore, this study developed aMarkov-chain-based PV hosting capacity prediction method for high PVpenetration using BESS. The proposed method is described in detail,followed by case and validation studies. The obtained hosting capacitywas 123.58 kW, which increased to 3676.4 kW after the utility-scale BESSimplementation. The results demonstrate that the proposed Markov-chain-based PV hosting capacity prediction method outperforms theMonte Carlo method, which is the most popular stochastic hostingcapacity method, in terms of accuracy and computational cost.
Rumpun Ilmu
Teknik Elektro
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
Development of PV hosting-capacity prediction method based on Markov Chain for high PV penetration with utility-scale battery storage on low-voltage g.pdf
