Probabilistic multi-objective HVDC/AC transmission expansion planning considering distant wind/solar farms

This study presents a new binary differential evolution algorithm for probabilistic AC/DC transmission expansion planning (TEP). The probabilistic model would consider the uncertainty of distant wind/solar energy resources as well as load demand. In many power systems, the necessity of considering the impacts of HVDC links on the TEP studies is inevitable. Therefore, in this study, these links are considered a substitute candidate for the conventional HVAC transmission lines. The stochastic modelling and integration of HVDC links for TEP problem have introduced new challenges to transmission system planners. To overcome these problems, an efficient fuzzy set-based optimisation technique is used to solve the multi-objective TEP problem. Finally, the proposed method is applied to the test system consisting of 24 buses.

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