Application of Demand-side Technology in Power System Intelligent Regulation

  • Hui Zhu State Grid Huitongjincai (Beijing) Information Technology Co., Ltd., Beijing, China and State Grid Electronic Commerce Co., Ltd. /State Grid Financial Technology Group, 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
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 consumption 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 and State Grid Electronic Commerce Co., Ltd. /State Grid Financial Technology Group, 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 Engineer and General Manager in State Grid Huitongjincai (Beijing) Information Technology Co., Ltd. Meanwhile, he is also the Director of financial operations management center in State Grid Electronic Commerce Co., Ltd./State Grid Financial Technology Group. His research areas include business management, 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 University of Technology in 2006. She is currently working as a Director at Payment Business Department in State Grid Huitongjincai (Beijing) Information 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.

References

Guerzoni M, Raiteri E. Demand-side vs. supply-side technology policies: Hidden treatment and new empirical evidence on the policy mix[J]. Research Policy, 44(3), pp. 726–747, 2015.

Mou Y, Xing H, Lin Z. Decentralized Optimal Demand-Side Management for PHEV Charging in a Smart Grid[J]. IEEE Transactions on Smart Grid, 6(2), pp. 726–736, 2015.

Reddy S S, Abhyankar A R, Bijwe P R. Co-optimization of Energy and Demand-Side Reserves in Day-Ahead Electricity Markets[J]. International Journal of Emerging Electric Power Systems, 16(2), pp. 195–206, 2015.

Badran M F. eHealth in Egypt: The demand-side perspective of implementing electronic health records[J]. Telecommunications Policy, 43(6), pp. 576–594, 2019.

Hayn M, Zander A, Fichtner W. The impact of electricity tariffs on residential demand side flexibility: results of bottom-up load profile modeling[J]. Energy Systems, 9(3), pp. 1–34, 2018.

Klingler A L. Are current regionalisation approaches sufficient to decompose electricity demand? – A German case study[J]. Environmental Pollution, 208, pp. 512–522, 2015.

Qi X, Cheng Q, Wu H. Impact of Incentive-Based Demand Response on Operational Reliability of Distribution Network[J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 33(22), pp. 5319–5326, 2018.

Dhar S, Pathak M, Shukla P R. Transformation of India’s transport sector under Global Warming of 2oC and 1.5oC Scenario[J]. Journal of Cleaner Production, 172(PT.1), pp. 417–427, 2018.

Briem L, HS Buck, Mallig N. Integrating public transport into mobiTopp[J]. Future generation computer systems, 107(Jun.), pp. 1089–1096, 2020.

Maciejewski M, Bischoff J, Nagel K. An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching[J]. IEEE Intelligent Systems, 31(1), pp. 68–77, 2016.

Published
2021-10-21
Section
Renewable Power and Energy Systems