Low carbon planning for the power system

What is it about?

This article proposes a low-carbon planning method for distribution networks that comprehensively considers virtual energy storage resources, renewable energy, and their uncertainties. Analysis and verification indicate that reasonable coordination planning of virtual energy storage resources can effectively reduce planning costs by 3.1%, carbon emissions by 3.7%, while ensuring stable system operation.

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Photo by Google DeepMind on Unsplash

Photo by Google DeepMind on Unsplash

Why is it important?

The main contributions are as follows: 1) Compared to the studies that only consider traditional low-carbon planning or virtual resources for distribution networks, this paper explores the low-carbon benefits of complementary VES represented by TCR and electric EV loads in distribution network planning, fully utilizing their flexibility. 2) Compared with the low-carbon deterministic planning of distribution networks, this paper adopts the methods of opportunity constraint and DRCCP to deal with the uncertainty of renewable energy and virtual resources respectively, ensuring that the output contraction rate of renewable energy is within the set threshold. 3) Case studies show that compared with the other three traditional planning schemes, the proposed model can reduce planning costs by 3.1% and carbon emissions by 3.7%, while ensuring stable system operation.