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• W2312447222 abstract "Integration of renewable energy resources into the power system has increased the financial and technical concerns for the market-based transmission expansion planning. This paper proposes a stochastic framework for transmission grid reinforcement studies in a power system with wind generation. A multi-stage multi-objective transmission network expansion planning (TNEP) methodology is developed which considers the investment cost, absorption of private investment and reliability of the system as the objective functions. A non-dominated sorting genetic algorithm (NSGA II) optimization approach is used in combination with a probabilistic optimal power flow (POPF) to determine the Pareto optimal solutions considering the power system uncertainties. Using a compromise-solution method, the best final plan is then realized based on the decision-maker preferences. The proposed methodology is applied to the IEEE 24-bus Reliability Tests System (RTS) to evaluate the feasibility and practicality of the developed planning strategy." @default.
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• W2312447222 date "2014-11-01" @default.
• W2312447222 modified "2023-10-13" @default.
• W2312447222 title "A Multi-Objective Transmission Expansion Planning Framework in Deregulated Power Systems With Wind Generation" @default.
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• W2312447222 doi "https://doi.org/10.1109/tpwrs.2014.2316529" @default.
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