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

Jayaweera, D.S. and Burt, G.M. and McDonald, J.R. (2007) Customer security assessment in distribution networks with high penetration of wind power. IEEE Transactions on Power Systems, 22 (3). pp. 1360-1368. ISSN 0885-8950

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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.

Item type: Article
ID code: 11415
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, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 18 Oct 2011 13:58
    Last modified: 16 Jul 2013 22:08
    URI: http://strathprints.strath.ac.uk/id/eprint/11415

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