Abstract
In the era of smart grids and microgrids, the transformation of the traditional grid system brings many operational, technical, and economic benefits. However, the complexity of the network due to the integration of various distributed generations (DGs), continuous change of topology, and non-linear load make fault detection a major issue that forces power engineers to focus on. In this paper, a novel fault detection scheme is suggested based on the multivariate variational mode decomposition mode (MVMD) and differential cumulative sum (DCUSUM). As a generalized extension of the original variational mode decomposition (VMD) algorithm for multivariate data residing in multidimensional spaces, the main goal of MVMD is to decompose the input signal into different band-limited intrinsic mode functions (IMFs). Due to the inherent characteristics of being insensitive to noise and very effective in decomposing the local features even with similar frequencies, it is very effective for fault detection in microgrid distribution systems. The proposed DCUSUM algorithm computes the differential cumulative energy for the remaining significant modes. A fault detection index is considered in this approach and applied for fault detection by adaptively through the threshold setting to accurately result in fault detection. To justify the proposed approach, a standard AC microgrid test system is considered and the approach is verified for fault detection under various fault conditions and resistances. The obtained results and the comparative analysis with other methods reflect the better accuracy, robustness, and reliability of the proposed approach.
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Research ethics: Not applicable.
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Author contributions: All authors have equal contributions.
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Competing interests: No competing interests.
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Research funding: No research funding.
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Data availability: No data is included in this paper.
| Serial no. | Items | Parameters |
|---|---|---|
| 1 | Power grid | Grid voltage: 192 MVA, |
| Base voltage: 18 kV, frequency: 60 Hz | ||
| Impedance: R = 500 Ω & L = 500 Ω | ||
| T1: 18 kV/230 kV, T2: 13.8 kV/230 kV, T3: 13.8 kV/230 kV, | ||
| T4: 13.8 kV/230 kV, T5: 13.8 kV/230 kV, T6: 16.5 kV/230 kV, | ||
| T7: 16.5 kV/230 kV | ||
| 2 | Solar array | Irradiance: 1000 W/m2, temperature: 25 °, |
| Parallel strings: 66, series module per string: 5, cell per module: 96, short circuit current: 5.96 A, open circuit voltage: 64.2 V, rated voltage: 54.7 V, rated current: 5.58 A | ||
| 3 | DIFG wind turbine | Generator rating: 8 MW, no. of wind turbine: 4, speed: 15 m/s, system voltage: 575 V, nominal frequency: 60 Hz |
| 4 | Synchronous generator | Generator rating: 2 MVA, system voltage: 400 V, nominal frequency: 60 Hz, field current: 100 A |
| 5 | Load parameter | L1: 100 kW, 35 × 106 VAR, |
| L2: 0.125 W, 50 × 106 VAR, | ||
| L3: 90 kW, 30 × 106 VAR |
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- Optimal DGs coordination strategy for managing unbalanced and islanded distribution networks
- Research Articles
- Wind-plus-storage integration in emerging markets – a GIS-driven proof-of-concept for Papua New Guinea
- A new single modulating and single carrier signal based control technique for symmetrical and asymmetrical multilevel inverter topology
- RSO based selective harmonic elimination control for nine-level switched capacitor inverter
- Novel hybrid arithmetic optimization algorithm-recursive least square approach for power system harmonic estimation
- IoT based solar power forecasting using SSA-ELM technique
- Protection strategy for fault detection in AC microgrid based on MVMD & differential CUSUM
- Optimal over-current relay coordination in distribution network using grew wolf optimization
- Dual grid energy management strategy for electric vehicles in hybrid microgrid utilizing matrix pencil method
- Experiences about calculating ZIP and exponential load model parameters
- Design of novel UPFC based damping controller for solar PV integrated power system using arithmetic optimization algorithm
- Complex-valued sensitivity analysis tool aimed to power flow optimization
- Reliability indices improvement according to grid code compliance applied to PV power plants (Algerian grid code case study)
Articles in the same Issue
- Frontmatter
- Review
- Optimal DGs coordination strategy for managing unbalanced and islanded distribution networks
- Research Articles
- Wind-plus-storage integration in emerging markets – a GIS-driven proof-of-concept for Papua New Guinea
- A new single modulating and single carrier signal based control technique for symmetrical and asymmetrical multilevel inverter topology
- RSO based selective harmonic elimination control for nine-level switched capacitor inverter
- Novel hybrid arithmetic optimization algorithm-recursive least square approach for power system harmonic estimation
- IoT based solar power forecasting using SSA-ELM technique
- Protection strategy for fault detection in AC microgrid based on MVMD & differential CUSUM
- Optimal over-current relay coordination in distribution network using grew wolf optimization
- Dual grid energy management strategy for electric vehicles in hybrid microgrid utilizing matrix pencil method
- Experiences about calculating ZIP and exponential load model parameters
- Design of novel UPFC based damping controller for solar PV integrated power system using arithmetic optimization algorithm
- Complex-valued sensitivity analysis tool aimed to power flow optimization
- Reliability indices improvement according to grid code compliance applied to PV power plants (Algerian grid code case study)