Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 30, Issue 6, Pages 3396-3406Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2014.2377201
Keywords
High-voltage DC (HVDC); information gap decision theory (IGDT); optimal power flow (OPF); uncertainty; wind power
Categories
Funding
- Commission for Energy Regulation
- Bord Gais Energy
- Bord na Mona Energy
- Cylon Controls
- EirGrid
- Electric Ireland
- EPRI
- ESB International
- ESB Networks
- Gaelectric
- Intel
- SSE Renewables
- UTRC
- Viridian Power Energy
- Science Foundation Ireland (SFI) SEES Cluster [SFI/09/SRC/E1780]
- SFI Charles Parsons Energy Research Awards [SFI/06/CP/E005]
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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.
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