Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 37, Issue 4, Pages 2881-2893Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2021.3125719
Keywords
Uncertainty; Planning; Optimization; Costs; Reactive power; Voltage; Topology; AC transmission expansion planning; renewable energy sources; uncertainty; robust optimization; strong duality; benders decomposition
Categories
Funding
- Science and Engineering Research Board, New Delhi, India [CRG/2020/001306, TPWRS-00620-2021]
Ask authors/readers for more resources
This paper proposes a novel nonlinear dual-based bi-level approach for robust AC Transmission Expansion Planning (TEP) with uncertainties in RES generations and loads. It introduces a convex relaxation and utilizes Benders Decomposition (BD) to solve the problem. The approach is tested on various systems, demonstrating its robustness and efficacy.
Renewable Energy Sources (RESs) integration strengthens the need for a power network that can robustly handle the system's uncertain scenarios. This paper proposes the first nonlinear novel dual-based bi-level approach for robust AC Transmission Expansion Planning (TEP) with uncertainties in RES generations and loads. It utilizes a convex relaxation and is solved by Benders Decomposition (BD), where the master determines the robust AC expansion plan. The novel dual slave for the second level of BD circumvents the issues in using conventional conic dual theory and aids in the worst-case realization of uncertainties using additional novel constraints. The proposed slave is solved using Interior Point Method (IPM), as it is not a mixed-integer problem. The proposed work includes additional linear constraints to speed up BD's convergence and direct the master towards optimality. The approach is tested on several transmission systems, including the Indian Northern Regional Power Grid (NRPG) system. The robustness of the obtained plans is verified by Monte-Carlo Simulation (MCS) of the actual nonlinear and nonconvex AC Optimal Power Flow (OPF). The effect of the budget of uncertainty on the AC expansion plan is also investigated. A comparison with two previous works reveals the efficacy of the proposed approach.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available