Analysis of Demand Response in Distribution Network Scenarios with Photovoltaic Integration

Recently, advancements in technology, coupled with sustained policy backing, have led to a surge in the growth of distributed photovoltaic energy, which is a now integral component in the shift towards energy transition and sustainability. Connecting distributed solar power to the grid introduces a certain amount of active and reactive power. Daytime, with high light intensity, sees a significant active power output from solar systems, potentially raising grid voltage. Conversely, at night or with low light, the system's active power output is minimal, resulting in a minimal voltage impact on the grid. To optimize the use of distributed solar power and decrease overall carbon emissions, this paper suggests a demand-response strategy for the IEEE33-node system. The approach involves increasing load power during peak solar generation at noon and decreasing it at night, maintaining constant daily electricity consumption. This method demonstrates its effectiveness in shifting the power load to times of high solar generation.

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Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922262
Primary Topic
Smart Grid Energy Management
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article
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article

Analysis of Demand Response in Distribution Network Scenarios with Photovoltaic Integration

Bin Hu, Yue Yang, Jinma Sheng, Pengcheng Wu
Smart Grid Energy Management
article

Analysis of Demand Response in Distribution Network Scenarios with Photovoltaic Integration

Bin Hu, Yue Yang, Jinma Sheng, Pengcheng Wu
article en

Abstract

Recently, advancements in technology, coupled with sustained policy backing, have led to a surge in the growth of distributed photovoltaic energy, which is a now integral component in the shift towards energy transition and sustainability. Connecting distributed solar power to the grid introduces a certain amount of active and reactive power. Daytime, with high light intensity, sees a significant active power output from solar systems, potentially raising grid voltage. Conversely, at night or with low light, the system's active power output is minimal, resulting in a minimal voltage impact on the grid. To optimize the use of distributed solar power and decrease overall carbon emissions, this paper suggests a demand-response strategy for the IEEE33-node system. The approach involves increasing load power during peak solar generation at noon and decreasing it at night, maintaining constant daily electricity consumption. This method demonstrates its effectiveness in shifting the power load to times of high solar generation.

Hefei University of Technology (CN), State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 74%
Smart Grid Energy Management
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Analysis of Demand Response in Distribution Network Scenarios with Photovoltaic Integration — Bin Hu, Yue Yang, et al. · (2024) | TGRS Research Map | TGRS