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Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Updated: Sep 13, 2025

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
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A fixed normalized LMF (XE-NLMF) algorithm for single stage grid interfaced solar PVSystem.

Subhranshu Sekhar Puhan1, Renu Sharma2

  • 1Department of Electrical Engineering, ITER, SOA Deemed to be University, Bhubaneswar, India.

Scientific Reports
|July 27, 2025
PubMed
Summary
This summary is machine-generated.

A novel fixed normalized least mean fourth (XE-NLMF) algorithm enhances solar photovoltaic system performance. This XE-NLMF controller improves stability and power quality for grid-integrated systems.

Keywords:
Fixed normalized linear mean fourth (XE-NLMF)Linear mean fourth (LMF)Normalised linear mean fourth (N-LMF)Point of common coupling (PCC)

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Control Systems

Background:

  • Grid-integrated solar photovoltaic (SPV) systems require robust control for stability and power quality.
  • Conventional least mean fourth (LMF) algorithms offer stability but can be improved in noisy environments.
  • Existing methods may not fully address the complexities of nonlinear loads and grid disturbances in SPV systems.

Purpose of the Study:

  • To design and analyze a fixed normalized least mean fourth (XE-NLMF) based algorithm for a single-stage, three-phase grid-integrated SPV system.
  • To evaluate the performance of the XE-NLMF algorithm against conventional LMF techniques.
  • To ensure the proposed controller meets IEEE-519 standards for power quality.

Main Methods:

  • Integration of an SPV array with a perturb and observe (P&O) maximum power point tracking (MPPT) method.
  • Control of a voltage source converter (VSC) using the proposed XE-NLMF algorithm.
  • Performance evaluation via MATLAB simulations under diverse operating conditions (solar insolation, load variations, grid weakness).
  • Stability analysis using Time Domain State Space, pole-zero analysis, Inverse Transform, and Z-domain techniques (Lyapunov, normal).

Main Results:

  • The XE-NLMF algorithm demonstrates superior steady-state performance compared to the conventional LMF.
  • The controller effectively manages changes in solar insolation and load conditions.
  • The system maintains power quality and limits harmonic distortions, complying with IEEE-519 standards.
  • Comprehensive stability analysis confirms the robustness of the proposed controller.

Conclusions:

  • The XE-NLMF algorithm offers a stable and efficient control solution for three-phase grid-integrated SPV systems.
  • The proposed controller enhances power quality and harmonic mitigation.
  • The study validates the effectiveness and reliability of the XE-NLMF controller for real-time applications.