Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties

The paper investigates the case of a microgrid participating in a pool-type market to enable purchasing part of its energy demand from the grid. The market exposure subjects the μgrid to various risks including price, demand volume, non-dispatchable distributed generation output and system reliabili...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhamad Razali, N.M., Hashim, A.H.
Format:
Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/8317
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-8317
record_format dspace
spelling my.uniten.dspace-83172018-04-28T16:33:48Z Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties Muhamad Razali, N.M. Hashim, A.H. The paper investigates the case of a microgrid participating in a pool-type market to enable purchasing part of its energy demand from the grid. The market exposure subjects the μgrid to various risks including price, demand volume, non-dispatchable distributed generation output and system reliability which require extensive risk based decision making processes for optimal operational strategies. By using the characteristics of a particular market and weather data, the spot price is modelled using Ornstein-Uhlenbeck mean-reverting stochastic differential equation while the wind turbine generation employed Weibull distributed wind profile. Monte-Carlo simulations with different proportions of customers classified as premier, normal and interruptible loads with heterogeneous tariffs are performed to evaluate the ratio of expected profit to expected cost of energy procurement, Cash Flow at Risk and Expected Shortfall. ©2009 IEEE. 2018-02-15T02:45:54Z 2018-02-15T02:45:54Z 2009 http://dspace.uniten.edu.my/jspui/handle/123456789/8317
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The paper investigates the case of a microgrid participating in a pool-type market to enable purchasing part of its energy demand from the grid. The market exposure subjects the μgrid to various risks including price, demand volume, non-dispatchable distributed generation output and system reliability which require extensive risk based decision making processes for optimal operational strategies. By using the characteristics of a particular market and weather data, the spot price is modelled using Ornstein-Uhlenbeck mean-reverting stochastic differential equation while the wind turbine generation employed Weibull distributed wind profile. Monte-Carlo simulations with different proportions of customers classified as premier, normal and interruptible loads with heterogeneous tariffs are performed to evaluate the ratio of expected profit to expected cost of energy procurement, Cash Flow at Risk and Expected Shortfall. ©2009 IEEE.
format
author Muhamad Razali, N.M.
Hashim, A.H.
spellingShingle Muhamad Razali, N.M.
Hashim, A.H.
Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
author_facet Muhamad Razali, N.M.
Hashim, A.H.
author_sort Muhamad Razali, N.M.
title Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
title_short Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
title_full Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
title_fullStr Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
title_full_unstemmed Microgrid operational decisions based on CFaR with wind power and pool prices uncertainties
title_sort microgrid operational decisions based on cfar with wind power and pool prices uncertainties
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/8317
_version_ 1644494426973667328
score 13.160551