Research on the Method of Balancing Electricity Quantity in Rural New Power Grid

With the proposal of the national goal of “carbon neutrality and peak carbon emissions”, the proportion of new energy connected to the power grid is increasing, and the power balance characteristics of the power system have undergone significant changes. Compared with urban distribution networks, rural power grids have the characteristics of distributed wind and solar energy storage, long power supply radius, long distance, high line losses, and low reliability. The paper constructs a new rural power grid power balance model that includes wind, solar, storage, and load, and proposes a power balance calculation method based on particle swarm optimization algorithm. The experimental results show that the model and method proposed in the paper have achieved good power and energy balance effects. It can effectively reduce the abandoned electricity and system disturbance of new energy.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/sges63808.2024.10824106
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
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Research on the Method of Balancing Electricity Quantity in Rural New Power Grid

Daojun Tan, Kan Cao, Xiao-Ding Cai, Heng Luo
1 citations
Smart Grid and Power Systems
0.21
article

Research on the Method of Balancing Electricity Quantity in Rural New Power Grid

Daojun Tan, Kan Cao, Xiao-Ding Cai, Heng Luo
article en
1 citations

Abstract

With the proposal of the national goal of “carbon neutrality and peak carbon emissions”, the proportion of new energy connected to the power grid is increasing, and the power balance characteristics of the power system have undergone significant changes. Compared with urban distribution networks, rural power grids have the characteristics of distributed wind and solar energy storage, long power supply radius, long distance, high line losses, and low reliability. The paper constructs a new rural power grid power balance model that includes wind, solar, storage, and load, and proposes a power balance calculation method based on particle swarm optimization algorithm. The experimental results show that the model and method proposed in the paper have achieved good power and energy balance effects. It can effectively reduce the abandoned electricity and system disturbance of new energy.

Affordable and clean energy
Openalex Percentile: Top 44%
Smart Grid and Power Systems
0.21
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