Research on the Photovoltaic Cluster Regulation Method of the Operation Risk Index

Aiming at the problems of distribution network security operation such as fluctuation and intermittent caused by large-scale photovoltaic grid-connection, this paper puts forward a photovoltaic cluster regulation method considering operation risk index, establishes operation risk index system of feeder carrying capacity, line loss rate and other indexes, calculates subjective index weight by AHP, and calculates objective index weight by entropy weight method. A control architecture of “cloud-cluster-end” is established. A cloud-based optimization model for improving the distribution network carrying capacity and minimizing the voltage offset risk and an intra-cluster optimization model for minimizing the network loss, current offset ratio and load utilization ratio are established. Particle swarm optimization algorithm is used to solve the optimization. Finally, a 151-node actual distribution network is taken as an example to verify that the proposed method can promote photovoltaic consumption and enhance the distribution network carrying capacity. Reduce the operation risk of voltage and current after large-scale photovoltaic grid connection.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/peed63748.2025.00015
Primary Topic
Smart Grid and Power Systems
Type
article
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article

Research on the Photovoltaic Cluster Regulation Method of the Operation Risk Index

Baoyin Li, Zhixin Chen, Lei Xiao
Smart Grid and Power Systems
article

Research on the Photovoltaic Cluster Regulation Method of the Operation Risk Index

Baoyin Li, Zhixin Chen, Lei Xiao
article en

Abstract

Aiming at the problems of distribution network security operation such as fluctuation and intermittent caused by large-scale photovoltaic grid-connection, this paper puts forward a photovoltaic cluster regulation method considering operation risk index, establishes operation risk index system of feeder carrying capacity, line loss rate and other indexes, calculates subjective index weight by AHP, and calculates objective index weight by entropy weight method. A control architecture of “cloud-cluster-end” is established. A cloud-based optimization model for improving the distribution network carrying capacity and minimizing the voltage offset risk and an intra-cluster optimization model for minimizing the network loss, current offset ratio and load utilization ratio are established. Particle swarm optimization algorithm is used to solve the optimization. Finally, a 151-node actual distribution network is taken as an example to verify that the proposed method can promote photovoltaic consumption and enhance the distribution network carrying capacity. Reduce the operation risk of voltage and current after large-scale photovoltaic grid connection.

Shandong University of Science and Technology (CN)
Openalex Percentile: Top 86%
Smart Grid and Power Systems
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