Sensitivity and stability analysis of power system frequency response considering demand response and virtual inertia

  • Muhammad Saeed Uz Zaman
  • , Syed Basit Ali Bukhari
  • , Raza Haider
  • , Muhammad Omer Khan
  • , Shazia Baloch
  • , Chul Hwan Kim

Research output: Contribution to journalArticlepeer-review

Abstract

In the modern power systems, controllable loads are integrated through demand response (DR) programs and energy storage systems are exploited to provide virtual inertia (VI) with the help of power converters. The effectiveness of DR and VI in improving the power system's performance is well-addressed in the literature, however, their impact on the power system's stability is not well-documented. In this work, a novel analytical model is developed for sensitivity and stability analysis of power system frequency response with respect to important system parameters considering DR and VI. The developed model considers the individual and combined role of DR and VI control loops in the power system. The model is validated through extensive simulations on different systems with slow and fast dynamics. It is shown that, despite providing better frequency response, the introduction of DR and VI control loops can sometimes deteriorate the stability margins of the power system. The findings of this study call for careful calculations during the process of integrating DR and VI controls to the conventional power system.

Original languageEnglish
Pages (from-to)986-996
Number of pages11
JournalIET Generation, Transmission and Distribution
Volume14
Issue number6
DOIs
StatePublished - 27 Mar 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy storage
  • Frequency control
  • Frequency response
  • Power convertors
  • Power system simulation
  • Power system stability

Fingerprint

Dive into the research topics of 'Sensitivity and stability analysis of power system frequency response considering demand response and virtual inertia'. Together they form a unique fingerprint.

Cite this