Estimation of Disturbance Size and Frequency Nadir Prediction in RE Integrated Power Systems

Subcategory (under Clean Energy): Cross Cutting
Technology Readiness Level (TRL): TRL 4 - Early prototype
Technology Outline (Process Description)

Background and Motivation:

Variable, intermittent, and non-synchronous nature of RES-based power generation introduces several technical challenges.

Reduced level of inertia and its heterogeneous distribution, together with time-varying inertia profiles, impacts frequency stability.

Estimating disturbance size immediately after the contingency is essential to accurately predict frequency nadir and maintain system reliability. 

A method is developed for online estimation of disturbance size for Renewable Energy-dominated power systems. The estimated disturbance size is used to predict the frequency nadir immediately after the disturbance.

Applications:

Help power system operators take preventive/corrective actions after credible contingencies.

Improves the power system control, operation, and reliability.

Salient Features/Advantages

  • Analytical method
  • Easy to implement
  • Accurate prediction

Key Outcomes

  • Trial Application in Real Power Systems: Sample Result

  • Study results on Gujarat state power system: comparison of disturbance size estimation errors for a step load change at various disturbance locations with varied pmu sets

IP Protection details

  • Patent filed (Title, national/International): Nil
  • Patents Granted: Nil
  • Copyrights obtained /progress on commercialisation /Pl. specify connect with industry: Nil

Contact details (for more information)

  • Nodal Person name: Dr. Zakir Hussain Rather
  • Email ID: Zakir.rather@iitb.ac.in
  • Organisation name (Relevant link/web page): IIT Bombay
Supporting Photographs/Images

Organizations involved in the development (logo/name)

Indian Institute of Technology (IIT) Bombay

Imperial College of London

India-UK-Centre for Education and Research in Clean Energy

Joint UK-India Clean Energy Centre

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