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Information Gap Decision Theory Based OPF With HVDC Connected Wind Farms

rabiee abbas (alireza.soroudi***at***ucd.ie)
Alireza Soroudi (rabiee***at***znu.ac.ir)
andrew keane (andrew.keane***at***ucd.ie)

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.

Keywords: uncertainty modeling, Information gap decision theory

Category 1: Applications -- OR and Management Sciences

Category 2: Other Topics (Other )

Citation: Power Systems, IEEE Transactions on Volume: PP , Issue: 99 DOI: 10.1109/TPWRS.2014.2377201 Publication Year: 2014 , Page(s): 1 - 11

Download: [PDF]

Entry Submitted: 01/03/2015
Entry Accepted: 01/03/2015
Entry Last Modified: 01/03/2015

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