Application of Demand-side Technology in Power System Intelligent Regulation

Authors

  • Hui Zhu State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China
  • Zhaoming Li State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China
  • Sisi Chen State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China
  • Xiaojie Peng State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3722

Keywords:

Smart grid, demand response, load management.

Abstract

To reduce peak demand for electricity, smooth load curve shape, improve
power system safety and efficiency, this paper, by using intelligent home
appliance user operation comfort model is set up to quantify the acceptance,
this paper proposes a maximum minimum load management algorithm based
on optimization strategy to change electric power use time and power con-
sumption mode.The results show that the proposed model and algorithm can
forecast and manage the power load well, and can reduce the peak to average
ratio by 14.3% and the total expenditure by 15.3% while maintaining the
operating comfort of power users to the maximum.The load management
problem of multiple power users can reach Nash equilibrium in a finite
number of iterations, and this Nash equilibrium point is also the global
optimal point.

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Author Biographies

Hui Zhu, State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China

Hui Zhu received the MSc degree in finance from Guizhou University Of
Finance And Economics in 2009. He is currently working as a Senior Engi-
neer and General Manager in State Grid Huitongjincai (Beijing) Information
Technology Co., Ltd. Meanwhile, he is also the Director of financial opera-
tions management center in State Grid Electronic Commerce Co., Ltd./State
Grid Financial Technology Group. His research areas include business man-
agement, e-commerce, electricity finance and supply chain finance.

Zhaoming Li, State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China

Zhaoming Li received the MA degree in literature from Lingnan University
(Hong Kong) in 2020. He is currently working as a New Media Operator
in State Grid Huitongjincai (Beijing) Information Technology Co., Ltd. His research areas include business management, e-commerce and new media
communication.

Sisi Chen, State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China

Sisi Chen received the Bachelor of Engineering degree from North Uni-
versity of Technology in 2006. She is currently working as a Director at
Payment Business Department in State Grid Huitongjincai (Beijing) Informa-
tion Technology Co., Ltd. Her research areas include business management
and e-commerce.

Xiaojie Peng, State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China

Xiaojie Peng received the Bachelor of Management degree in economic
management from North China Electric Power University (Bao Ding) in
1998. She received the MSc degree in financial economics from Party School
of the Central Committee of CPC in 2011. She is currently working as
a Senior Economist and Director at Project Quality Center in State Grid
Huitongjincai (Beijing) Information Technology Co., Ltd. Her research areas
include enterprise management, economic management and e-commerce.

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Published

2021-10-15

How to Cite

Zhu, H., Li, Z. ., Chen, S. ., & Peng, X. . (2021). Application of Demand-side Technology in Power System Intelligent Regulation. Distributed Generation &Amp; Alternative Energy Journal, 37(2), 145–158. https://doi.org/10.13052/dgaej2156-3306.3722

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