Distributed Photovoltaic Consumption Capacity Enhancement Methods for Distribution Grids

In order to effectively solve the problems of voltage crossing, line overloading and bidirectional flow of distribution network caused by new energy photovoltaic (PV) connected to the distribution network, a distribution network optimization method based on the coordination of demand response (DR) and smart soft-open switch (SOP) with energy storage is proposed. Firstly, the DR and SOP distribution network optimization model is constructed based on energy storage, and the multi-temporal optimization model is constructed after PV is connected to the distribution network with the optimization objective function of maximizing the power of new energy PVs, minimizing the loss of SOPs, and minimizing the cost of ESS operation and maintenance. Then, the second-order cone optimization algorithm is used to solve the problem with the CPLEX solver. Finally, Simulations on the IEEE33 bus system show that the method enhances voltage quality, reduces peak-to-valley load differences, and improves PV accommodation capacity, ensuring network security.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991421
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Distributed Photovoltaic Consumption Capacity Enhancement Methods for Distribution Grids

X. Shang, Kai Liu
Power Systems and Renewable Energy
article

Distributed Photovoltaic Consumption Capacity Enhancement Methods for Distribution Grids

X. Shang, Kai Liu
article en

Abstract

In order to effectively solve the problems of voltage crossing, line overloading and bidirectional flow of distribution network caused by new energy photovoltaic (PV) connected to the distribution network, a distribution network optimization method based on the coordination of demand response (DR) and smart soft-open switch (SOP) with energy storage is proposed. Firstly, the DR and SOP distribution network optimization model is constructed based on energy storage, and the multi-temporal optimization model is constructed after PV is connected to the distribution network with the optimization objective function of maximizing the power of new energy PVs, minimizing the loss of SOPs, and minimizing the cost of ESS operation and maintenance. Then, the second-order cone optimization algorithm is used to solve the problem with the CPLEX solver. Finally, Simulations on the IEEE33 bus system show that the method enhances voltage quality, reduces peak-to-valley load differences, and improves PV accommodation capacity, ensuring network security.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 63%
Power Systems and Renewable Energy
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