Transmission Expansion Planning of Systems With Increasing Wind Power Integration

• Published in: IEEE transactions on power systems Vol. 28; no. 2; pp. 1355 - 1362
• Main Authors: Orfanos, George A., Georgilakis, Pavlos S., Hatziargyriou, Nikos D.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Benders decomposition; Computer simulation; Conferences; Generators; Investments; Monte Carlo simulation; Networks; Planning; probabilistic contingency analysis; Probabilistic logic; Probabilistic methods; Probability theory; Security; transmission expansion planning; Uncertainty; Wind power; Wind power generation
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2012.2214242

This paper proposes an efficient approach for probabilistic transmission expansion planning (TEP) that considers load and wind power generation uncertainties. The Benders decomposition algorithm in conjunction with Monte Carlo simulation is used to tackle the proposed probabilistic TEP. An upper bound on total load shedding is introduced in order to obtain network solutions that have an acceptable probability of load curtailment. The proposed approach is applied on Garver six-bus test system and on IEEE 24-bus reliability test system. The effect of contingency analysis, load and mainly wind production uncertainties on network expansion configurations and costs is investigated. It is shown that the method presented can be used effectively to study the effect of increasing wind power integration on TEP of systems with high wind generation uncertainties.