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

Attya, Ayman and Dominguez-Garcia, Jose Luis and Anaya-Lara, Olimpo (2017) Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation. In: 7th IEEE International conference on Innovative Smart Grid Technologies, 2017-09-26 - 2017-10-09, Politecnico di Torino. (In Press)

[thumbnail of Attya-etal-ISGT2017-Estimation-of-frequency-support-market-indices-using-Monte-Carlo]
Preview
 Text. Filename: Attya_etal_ISGT2017_Estimation_of_frequency_support_market_indices_using_Monte_Carlo.pdf
Accepted Author Manuscript
Download (639kB)| Preview

Abstract

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.

  • Item type:Conference or Workshop Item(Paper)
    ID code:61482
    Dates:
    Date
    Event
    29 April 2017
    Published
    29 April 2017
    Accepted
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:07 Aug 2017 09:24
    Last modified:09 Apr 2024 06:23
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/61482
CORE (COnnecting REpositories)