Research on Electricity Balance and Measurement Optimization of New Energy Power System Considering Renewable Energy Consumption Mechanism

Authors

  • Zhihao Guo Guangzhou Haiyi Software Co., Ltd. Guangzhou, 510663, Guangdong, China
  • Yongzhi Cai Metrology Center of Guangdong Power Grid Corporation, Guangzhou, 510062, Guangdong, China
  • Sheng Huang Metrology Center of Guangdong Power Grid Corporation, Guangzhou, 510062, Guangdong, China
  • Zeming Jiang China Southern Power Grid Company Limited., Guangzhou, 510530, Guangdong, China
  • KeFei Guan Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd, Jiangmen, 529000, Guangdong, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3935

Keywords:

Renewable energy, absorption mechanism, new energy power system, balance and metrology optimization

Abstract

With the rapid development of renewable energy, the new energy power system is facing the challenge of large-scale grid connection and consumption of renewable energy. In order to achieve efficient utilization and stable power supply of renewable energy, this study proposes a renewable energy consumption mechanism based on optimization methods. By establishing a power and electricity balance model, consider the relationship between different types of renewable energy generation and electricity demand. Various optimization strategies have been proposed for energy consumption issues in different scenarios, including power generation scheduling, energy storage optimization, and flexible load management. Validate the effectiveness of the proposed mechanism in terms of electricity balance and metering optimization through a model. The experimental results indicate that this mechanism can effectively enhance the renewable energy consumption capacity of the new energy power system, reduce energy waste, promote energy cleanliness and sustainable development, and has certain theoretical and practical significance for promoting the sustainable development of the new energy power system and responding to energy transformation.

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Author Biographies

Zhihao Guo, Guangzhou Haiyi Software Co., Ltd. Guangzhou, 510663, Guangdong, China

ZhiHao Guo graduated from Guangzhou University of Software with a bachelor’s degree in software development. After graduation, I worked at Guangzhou Haiyi Software Co., Ltd., with a main research focus on electricity. Current position is Product Line Manager.

Yongzhi Cai, Metrology Center of Guangdong Power Grid Corporation, Guangzhou, 510062, Guangdong, China

Yongzhi Cai graduated from South China University of Technology with a PhD in software development. After graduation, I worked at the Metrology Center of Guangdong Power Grid Co., Ltd. My main research direction is energy metering. The current professional title is Senior Engineer.

Sheng Huang, Metrology Center of Guangdong Power Grid Corporation, Guangzhou, 510062, Guangdong, China

Sheng Huang graduated from Guangdong University of Technology with a master’s degree in Artificial Intelligence. After graduation, I worked at the Metrology Center of Guangdong Power Grid Corporation. My main research direction is in the field of artificial intelligence.

Zeming Jiang, China Southern Power Grid Company Limited., Guangzhou, 510530, Guangdong, China

Zeming Jiang graduated from North China Electric Power University with a master’s degree in software development. After graduation, I worked at China Southern Power Grid Co., Ltd. My main research direction is power system automation and network security. The current professional title is Intermediate Engineer.

KeFei Guan, Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd, Jiangmen, 529000, Guangdong, China

KeFei Guan graduated from the College of Science and Technology of North China Electric Power University, with a bachelor’s degree in Network Engineering. After graduation, I worked at Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., with a main research focus on electricity. The current professional title is Senior Engineer.

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Published

2024-07-16

How to Cite

Guo, Z., Cai, Y., Huang, S., Jiang, Z., & Guan, K. (2024). Research on Electricity Balance and Measurement Optimization of New Energy Power System Considering Renewable Energy Consumption Mechanism. Distributed Generation &Amp; Alternative Energy Journal, 39(03), 483–506. https://doi.org/10.13052/dgaej2156-3306.3935

Issue

Section

Renewable Power & Energy Systems