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: Contribution to conferencePaper

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.

Conference

Conference7th IEEE International conference on Innovative Smart Grid Technologies
Abbreviated titleISGT Europe 2017
CountryItaly
CityTorino
Period26/09/179/10/17
Internet address

Fingerprint

Wind power
Power generation
Power plants
Controllers
Monte Carlo simulation

Keywords

  • ancillary services
  • electricity markets
  • frequency support
  • Monte Carlo simulation

Cite this

Attya, A., Dominguez-Garcia, J. L., & Anaya-Lara, O. (Accepted/In press). Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation. Paper presented at 7th IEEE International conference on Innovative Smart Grid Technologies, Torino, Italy.
Attya, Ayman ; Dominguez-Garcia, Jose Luis ; Anaya-Lara, Olimpo. / Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation. Paper presented at 7th IEEE International conference on Innovative Smart Grid Technologies, Torino, Italy.6 p.
@conference{f7b873cdfa90407dbf597d66f8b3bd7c,
title = "Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation",
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.",
keywords = "ancillary services, electricity markets, frequency support, Monte Carlo simulation",
author = "Ayman Attya and Dominguez-Garcia, {Jose Luis} and Olimpo Anaya-Lara",
note = "{\circledC} 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.; 7th IEEE International conference on Innovative Smart Grid Technologies, ISGT Europe 2017 ; Conference date: 26-09-2017 Through 09-10-2017",
year = "2017",
month = "4",
day = "29",
language = "English",
url = "http://sites.ieee.org/isgt-europe-2017/, http://sites.ieee.org/isgt-europe-2017/",

}

Attya, A, Dominguez-Garcia, JL & Anaya-Lara, O 2017, 'Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation' Paper presented at 7th IEEE International conference on Innovative Smart Grid Technologies, Torino, Italy, 26/09/17 - 9/10/17, .

Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation. / Attya, Ayman; Dominguez-Garcia, Jose Luis; Anaya-Lara, Olimpo.

2017. Paper presented at 7th IEEE International conference on Innovative Smart Grid Technologies, Torino, Italy.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation

AU - Attya,Ayman

AU - Dominguez-Garcia,Jose Luis

AU - Anaya-Lara,Olimpo

N1 - © 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.

PY - 2017/4/29

Y1 - 2017/4/29

N2 - 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.

AB - 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.

KW - ancillary services

KW - electricity markets

KW - frequency support

KW - Monte Carlo simulation

UR - http://sites.ieee.org/isgt-europe-2017/

M3 - Paper

ER -

Attya A, Dominguez-Garcia JL, Anaya-Lara O. Estimation of frequency support market indices using Monte Carlo Simulation for wind power generation. 2017. Paper presented at 7th IEEE International conference on Innovative Smart Grid Technologies, Torino, Italy.