Information Gap Decision Theory based OPF with HVDC Connected Wind Farms

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Title: Information Gap Decision Theory based OPF with HVDC Connected Wind Farms
Authors: Rabiee, Abbas
Soroudi, Alireza
Keane, Andrew
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Date: Dec-2014
Online since: 2014-12-22T10:23:41Z
Abstract: A method for solving the optimal power flow (OPF) problem including HVDC connected offshore wind farms is presented in this paper. Different factors have been considered in the proposed method, namely, voltage source converter (VSC-HVDC) and line-commutated converter high-voltage DC (LCC-HVDC) link constraints, doubly fed induction generators' (DFIGs) capability curve as well as the uncertainties of wind power generation. Information gap decision theory (IGDT) is utilized for handling the uncertainties associated with the volatility of wind power generation. It is computationally efficient and does not require the probability density function of wind speed. The proposed decision-making framework finds the optimal decision variables in a way that they remain robust against the considered uncertainties. To illustrate the effectiveness of the proposed approach, it is applied on the IEEE 118-bus system. The obtained results validate the applicability of the proposed IGDT-based OPF model for optimal operation of AC/DC power systems with high penetration of offshore wind farms.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE Transactions on Power Systems
Volume: PP
Issue: 99
Start page: 1
End page: 11
Keywords: Wind turbineUncertainty modelingEnergy systemsDecision making under uncertaintyRisk modeling
DOI: 10.1109/TPWRS.2014.2377201
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

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