期刊
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
卷 71, 期 -, 页码 140-150出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2015.02.043
关键词
Information-Gap Decision Theory; Dynamic transmission expansion planning; Load uncertainty; Robustness model; Opportunistic model; Stochastic optimization
This paper presents a dynamic transmission expansion planning framework with considering load uncertainty based on Information-Gap Decision Theory. Dynamic transmission planning process is carried out to obtain the minimum total social cost over the planning horizon. Robustness of the decisions against under-estimated load predictions is modeled using a robustness function. Furthermore, an opportunistic model is proposed for risk-seeker decision making. The proposed IGDT-based dynamic network expansion planning is formulated as a stochastic mixed integer non-linear problem and is solved using an improved standard branch and bound technique. The performance of the proposed scheme is verified over two test cases including the 24-bus IEEE RTS system and Iran national 400-kV transmission network. (C) 2015 Elsevier Ltd. All rights reserved.
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