Modeling Analysis and Improvement of Power Loss in Microgrid

Lan, Hai; Wen, Shuli; Fu, Qiang; Yu, David C.; Zhang, L.

doi:10.1155/2015/493560

Cited by 17 publications

(6 citation statements)

References 20 publications

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“…Shang Y., [8] Sufyan M., 2019 [15] Yang Y., 2013 [19] Narayan N., 2018 [20] Shin H., 2020 [21] Dulout J., [22] Lan H., 2015 [27] Carpinelli G., 2017 [25] Huo D., 2022 [26] Soltani N, 2020 [28] Yue M., 2015 [29] Bahramirad S., 2012 [30] Knap V., 2015 [31] Bhusal N., 2021 [32] Baloyi T., [33] Luo Y., 2014 [34] Astaneh M., 2018 [35] Table 1. Cont.…”

Section: Reliability Degradationmentioning

confidence: 99%

Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

et al. 2022

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The modeling of battery energy storage systems (BESS) remains poorly researched, especially in the case of taking into account the power loss due to degradation that occurs during operation in the power system with a large penetration of generation from renewables and stochastic load from electric vehicles (EV). Meanwhile, the lifetime varies considerably from the manufacturer’s claim due to different operating conditions, and also depends on the level of renewable energy sources (RES) penetration, cyclic operation, temperature, discharge/charge rate, and depth of discharge. Choosing a simplistic approach to the degradation model can lead to unreliable conclusions in choosing the best management strategy and significant investment and operating costs. Most existing BESS models in stationary applications either assume zero degradation costs for storage or simplify battery life to a linear function of depth of discharge (DOD), which can lead to additional error in estimating the cost of BESS degradation. The complexity of constructing a lifetime model of BESS is due to the presence of nonlinear degradation of BESS at the beginning and at the end of the lifetime, as well as the difficulty in obtaining a large amount of experimental data that are close to the real-world operating conditions for the construction of most models. This article analyzes the features of BESS that are specific to their operation in microgrids in terms of the influence of the main stress factors on the degree of BESS degradation. This study also provides a review of existing models for assessing battery degradation.

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Section: Reliability Degradationmentioning

confidence: 99%

Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

et al. 2022

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“…Selain itu, juga terjadi perubahan stabilitas sesaat dari jaringan utilitas, sehingga dibutuhkan sistem penyimpanan. Kehilangan daya selalu terjadi pada system micro grid, sehingga pengoptimalan semua lokasi beban menjadi sangat penting [22], [23].…”

Section: Micro Gridunclassified

Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid

Kusmantoro

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Putri

et al. 2020

JNTETI

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Pada makalah ini dirancang sistem DC micro grid yang terdiri atas beberapa PV dan baterai yang saling terhubung melalui jaringan. PV grid A dan C menyalurkan daya 1.904 watt dalam sistem micro grid, sedangkan kontribusi daya baterai sebesar 784 watt. Sistem mempunyai beban 730 watt. Tujuan makalah ini adalah peningkatan kinerja micro grid dengan sistem off-grid, dengan kontrol terpusat berbasis controller Outseal. Kinerja sistem yang dirancang cukup baik karena sumber daya dari sistem PV grid A dan grid C cukup untuk memenuhi permintaan beban dan untuk mengisi baterai. Pada saat radiasi matahari rendah, baterai memenuhi permintaan beban. Sistem yang diusulkan mempertahankan tegangan pada 12 V dengan perubahan hanya ± 10%.

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“…(4) Alternate-phase penetration (APP): This selects alternate phases at different load buses of the network for PV system connection. In order to find the optimal solution, PI is analyzed using the particle swarm optimization technique in [37]. This implies that PV system should be connected in phase-A for buses R11 and R18, in phase-B for buses R16 and R17, and in phase-C for the R15 bus.…”

Section: Performance Index and Proposed Techniquesmentioning

confidence: 99%

A Comparative Study into Enhancing the PV Penetration Limit of a LV CIGRE Residential Network with Distributed Grid-Tied Single-Phase PV Systems

et al. 2019

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Photovoltaic distributed generation (PVDG) has seen tremendous growth in recent years, especially in the residential sector. Among other concerns, the voltage rise in AC networks is considered the most limiting factor in achieving increased PV penetration levels. A steady-state impact study is performed on a CIGRE low-voltage (LV) residential network. This paper compares six techniques to increase the PV penetration limit in the LV residential network, namely single-phase penetration (SPP), Distribution Scheme 1 (DS1), Distribution Scheme 2 (DS2), alternate phase penetration (APP), offline tap adjustment (OTA) and switched on-load tap adjustment (SOLTA). PSCAD software is used for this study. The best results are obtained for the DS2-SOLTA case that gives the minimum voltage magnitude and voltage unbalance in the system. The steady-state results are validated by a dynamic data study using measured solar irradiance and residential load data. A novel approach is also proposed for calculating the worst day from the data set. The obtained results verify the effectiveness of the proposed approach.

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Modeling Analysis and Improvement of Power Loss in Microgrid

Cited by 17 publications

References 20 publications

Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

Kinerja Micro Grid Menggunakan Photovoltaic-Baterai dengan Sistem Off-Grid

A Comparative Study into Enhancing the PV Penetration Limit of a LV CIGRE Residential Network with Distributed Grid-Tied Single-Phase PV Systems

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