Customer security assessment in distribution networks with high penetration of wind power

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Abstract

A novel methodology is proposed for the customer security assessment with high penetration of wind power in modern distribution networks. The customer security is quantified through customer damage costs by operating wind farms without standing reserve, which causes an inadequate supply of power to meet loads at some operating conditions. Necessary reserve to mitigate intermittency of wind is quantified through shed load. The ability to estimate a network firm import capacity that can be replaced with a wind plant, which is operated with the necessary reserve, is an added advantage of the approach. Monte Carlo simulation is the prime tool of the assessment, which incorporates linear programming-based re-dispatching of generation and load shedding to eliminate constraint violations. Steady-state analysis is used for the assessment incorporating random contingencies, subsequent tripping, intermittency of wind power, and demand variations. A case study is presented considering a medium voltage island network that has a grid connection, and this is used to demonstrate the customer security assessment integrating uncertainty models and a formulation to extract the impact of intermittency.
LanguageEnglish
Pages1360-1368
Number of pages9
JournalIEEE Transactions on Power Systems
Volume22
Issue number3
DOIs
Publication statusPublished - Aug 2007

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Electric power distribution
Wind power
Linear programming
Farms
Electric potential
Costs

Keywords

  • cogeneration
  • costs
  • power generation
  • power supplies
  • protective relaying
  • steady-state
  • uncertainty
  • wind energy
  • wind farms
  • Monte Carlo methods
  • load shedding
  • power distribution reliability
  • wind power plants

Cite this

@article{acca9e2bcc0f410ebf12253cbd2fa8d7,
title = "Customer security assessment in distribution networks with high penetration of wind power",
abstract = "A novel methodology is proposed for the customer security assessment with high penetration of wind power in modern distribution networks. The customer security is quantified through customer damage costs by operating wind farms without standing reserve, which causes an inadequate supply of power to meet loads at some operating conditions. Necessary reserve to mitigate intermittency of wind is quantified through shed load. The ability to estimate a network firm import capacity that can be replaced with a wind plant, which is operated with the necessary reserve, is an added advantage of the approach. Monte Carlo simulation is the prime tool of the assessment, which incorporates linear programming-based re-dispatching of generation and load shedding to eliminate constraint violations. Steady-state analysis is used for the assessment incorporating random contingencies, subsequent tripping, intermittency of wind power, and demand variations. A case study is presented considering a medium voltage island network that has a grid connection, and this is used to demonstrate the customer security assessment integrating uncertainty models and a formulation to extract the impact of intermittency.",
keywords = "cogeneration, costs, power generation, power supplies, protective relaying, steady-state, uncertainty, wind energy, wind farms, Monte Carlo methods, load shedding, power distribution reliability, wind power plants",
author = "Dilan Jayaweera and Stuart Galloway and Graeme Burt and McDonald, {James R.}",
year = "2007",
month = "8",
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language = "English",
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AU - Jayaweera, Dilan

AU - Galloway, Stuart

AU - Burt, Graeme

AU - McDonald, James R.

PY - 2007/8

Y1 - 2007/8

N2 - A novel methodology is proposed for the customer security assessment with high penetration of wind power in modern distribution networks. The customer security is quantified through customer damage costs by operating wind farms without standing reserve, which causes an inadequate supply of power to meet loads at some operating conditions. Necessary reserve to mitigate intermittency of wind is quantified through shed load. The ability to estimate a network firm import capacity that can be replaced with a wind plant, which is operated with the necessary reserve, is an added advantage of the approach. Monte Carlo simulation is the prime tool of the assessment, which incorporates linear programming-based re-dispatching of generation and load shedding to eliminate constraint violations. Steady-state analysis is used for the assessment incorporating random contingencies, subsequent tripping, intermittency of wind power, and demand variations. A case study is presented considering a medium voltage island network that has a grid connection, and this is used to demonstrate the customer security assessment integrating uncertainty models and a formulation to extract the impact of intermittency.

AB - A novel methodology is proposed for the customer security assessment with high penetration of wind power in modern distribution networks. The customer security is quantified through customer damage costs by operating wind farms without standing reserve, which causes an inadequate supply of power to meet loads at some operating conditions. Necessary reserve to mitigate intermittency of wind is quantified through shed load. The ability to estimate a network firm import capacity that can be replaced with a wind plant, which is operated with the necessary reserve, is an added advantage of the approach. Monte Carlo simulation is the prime tool of the assessment, which incorporates linear programming-based re-dispatching of generation and load shedding to eliminate constraint violations. Steady-state analysis is used for the assessment incorporating random contingencies, subsequent tripping, intermittency of wind power, and demand variations. A case study is presented considering a medium voltage island network that has a grid connection, and this is used to demonstrate the customer security assessment integrating uncertainty models and a formulation to extract the impact of intermittency.

KW - cogeneration

KW - costs

KW - power generation

KW - power supplies

KW - protective relaying

KW - steady-state

KW - uncertainty

KW - wind energy

KW - wind farms

KW - Monte Carlo methods

KW - load shedding

KW - power distribution reliability

KW - wind power plants

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