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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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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 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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Related Experiment Video

Updated: Jul 1, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
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Onur Derse1, Ebru Yilmaz2

  • 1Department of Industrial Engineering, Faculty of Engineering, Tarsus University, Tarsus, 33400, Mersin, Turkey. onurderse@tarsus.edu.tr.

Environmental Science and Pollution Research International
|March 8, 2024
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Summary

This study presents an optimal renewable energy source (RES) plan for Turkey through 2050. Wind energy is prioritized, followed by biomass and hydroelectric, to maximize sustainability and minimize costs.

Keywords:
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Area of Science:

  • Energy Policy
  • Environmental Science
  • Operations Research

Background:

  • Growing adoption of Renewable Energy Sources (RES) offers environmental and sustainability benefits.
  • Turkey's energy landscape requires strategic planning for long-term RES integration.
  • Accurate energy consumption forecasting is crucial for effective RES deployment.

Purpose of the Study:

  • To develop a long-term optimal RES settlement strategic plan for all 81 provinces in Turkey.
  • To integrate energy consumption forecasts with risk analysis for a robust planning model.
  • To optimize RES deployment considering multiple objectives including cost, time, environmental impact, and risk.

Main Methods:

  • Energy consumption forecasting using the regARIMA method.
  • Development of a weighted goal programming model integrating regARIMA outputs and risk analysis.
  • Optimization using GAMS 23.5 software to solve the multi-objective model.

Main Results:

  • The regARIMA model demonstrated high accuracy (MAPE < 4%) for energy consumption forecasting.
  • The optimal RES settlement strategy prioritizes wind energy (53%), followed by biomass (23%) and hydroelectric (13%).
  • The model successfully minimized installation time, costs, and risk while maximizing carbon emission reduction and usage time.

Conclusions:

  • The integrated weighted goal programming model provides effective solutions for RES settlement planning in Turkey.
  • The proposed strategy ensures comprehensive coverage across all provinces, utilizing real-world data.
  • The findings support informed decision-making for sustainable and cost-effective renewable energy infrastructure development.