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Fast Decoupled and DC Powerflow01:24

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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Generator Voltage Control01:21

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Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
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Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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There are several methods to control power flow in power systems:
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A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
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Techno-economic optimization for isolated hybrid PV/wind/battery/diesel generator microgrid using improved salp swarm

Zakaria Belboul1, Belgacem Toual1,2, Abderrahman Bensalem1

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Summary

This study introduces an Improved Salp Swarm Algorithm (ISSA) for optimizing isolated microgrids, balancing cost and emissions. The ISSA effectively determines optimal renewable energy system sizes, outperforming other algorithms.

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Area of Science:

  • Renewable Energy Systems
  • Optimization Algorithms
  • Microgrid Technology

Background:

  • Isolated microgrids require techno-economic optimization for efficiency and reduced emissions.
  • Existing algorithms like the Salp Swarm Algorithm (SSA) can suffer from local minima and convergence issues.
  • Balancing renewable energy sources (solar, wind, batteries) with diesel generators presents complex design challenges.

Purpose of the Study:

  • To develop an Improved Salp Swarm Algorithm (ISSA) for techno-economic optimization of isolated microgrids.
  • To address the convergence limitations of the original SSA in finding optimal microgrid configurations.
  • To minimize greenhouse gas emissions while ensuring cost-effectiveness in microgrid design.

Main Methods:

  • Proposed an Improved Salp Swarm Algorithm (ISSA) with a novel position adaptation mechanism for the leader salp.
  • Investigated three microgrid system (MS) configurations: PV/WT/BESU/DG, PV/BESU/DG, and WT/BESU/DG.
  • Compared ISSA performance against SSA, Ant Lion Optimizer (ALO), Dragonfly Approach (DA), and Moth-Flame Optimization Algorithm (MFO).

Main Results:

  • The ISSA demonstrated superior performance in solving the microgrid optimization problem compared to other tested algorithms.
  • The PV/WT/BESU/DG configuration achieved the best cost-effectiveness with a Cost of Energy (COE) of $0.2109/kWh.
  • Optimal sizing for the best configuration included 10kW PV, 9kW WT, 24kW BESU, and 3kW DG, with 96% Renewable Energy Fraction (REF) and low Loss of Power Supply Probability (LPSP) of 4%.

Conclusions:

  • The ISSA is an effective method for optimizing isolated microgrids, overcoming local minima issues.
  • The study provides a viable approach for determining appropriate microgrid component sizes.
  • ISSA offers a potential solution for managing rising energy costs and microgrid design complexities.