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- W4386879904 abstract "The increasing expansion of renewable energy sources leads to the growth of uncertainty in the distribution network operation. Short-term operational planning performed by distribution system operators should evolve to address those new operating conditions, in particular to allow the efficient utilization of different flexibility levers. In this work, the use of a chance-constrained Alternating Current Optimal Power Flow (AC-OPF) is proposed to model the operational planning problem, considering the activation of several levers such as power modulation and power curtailment. The correlation between the renewable generation profiles and loads is taken into account via a joint probability constraint in the chance-constrained AC-OPF problem. The main novelty of the present manuscript is the adoption of a Difference-of-Convex approach that allows to solve the obtained optimization problem without convexification or linearization of the core OPF equations. The method starts with a reformulation of the model as a Difference-of-Convex optimization problem, and then a modified Bundle method algorithm is applied to solve it. The proposed methodology was tested in a 33 bus distribution network with 11 different values for the chance constraint satisfaction probability (safety parameter) ranging from 0.75 to 1." @default.
- W4386879904 created "2023-09-21" @default.
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- W4386879904 date "2023-09-01" @default.
- W4386879904 modified "2023-09-27" @default.
- W4386879904 title "Difference-of-Convex approach to chance-constrained Optimal Power Flow modelling the DSO power modulation lever for distribution networks" @default.
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- W4386879904 doi "https://doi.org/10.1016/j.segan.2023.101168" @default.
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