Estimation of frequency support market indices using Monte Carlo simulation for wind power generation

Ayman Attya, Jose Luis Dominguez-Garcia, Olimpo Anaya-Lara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


The foreseen high penetration levels of renewable energy sources into modern power system will force these green power plants to provide full range of ancillary services. Consequently, the schemes and mechanisms of the markets of such services should be adapted to accommodate the intermittent and uncertain nature of renewable power generation. This paper develops a novel probabilistic method to evaluate the key indices of frequency support according to the present market practices. Focus will be brought to wind power generation, where three different concepts of frequency support are compared through the proposed estimation algorithm, which is based on Monte Carlo Simulation (MCS). This study also considers different ranges of wind speed. Results reflect the disability of current factors, which are used to calculate the incentives and rates of provided power and energy support, to deal with wind power. It also reveals the average deviations between the applied support methods from viewpoint of the estimated indices. Matlab/Simulink is the applied simulation environment, where supplementary controllers are integrated into the NREL 5MW benchmark to enable its provision for frequency support.

Original languageEnglish
Title of host publication2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Number of pages6
ISBN (Electronic)9781538619537
Publication statusPublished - 18 Jan 2018
Externally publishedYes
EventIEEE International Conference on Innovative Smart Grid Technologies: Enabling the Transition to a More Electric World - Torino, Italy
Duration: 26 Sep 201729 Sep 2017 (Link to Conference Website)


ConferenceIEEE International Conference on Innovative Smart Grid Technologies
Abbreviated titleISGT-Europe 2017
Internet address


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