Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 2, 2023


Pages


DOI

Article

A fuzzy mathematical model-based approach to customer-side energy management for power companies

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Authors

Yinghui Lu Affiliation:
State Grid East Inner Mongolia Information & Telecommunication Company, Inner Mongolia Hohhot 010000, China
and Bing Tan Affiliation:
NARI-TECH Nanjing Control Systems Co., Ltd., Nanjing, 211106, China


Abstract

The power industry has a long history of unreasonable structure of electricity consumption, high energy-consuming enterprises, low efficiency of electricity, electric energy in the current is still a bottleneck that restricts economic development. First, a fuzzy mathematical model is established and optimized using adaptive fuzzy control, which can transform the fuzzy information of people’s input language into operation instructions and perform real-time regulation. Then the structure of the power customer side energy management system is designed to control the flexible load of the power customer. Describe the control principles of different devices, and analyze the strategies for start/stop control of power generation devices and charge/discharge control of energy storage devices. This paper combined with the actual situation of the current smart grid construction, researches and elaborates on the methods of power companies to carry out demand management i//n this situation, aiming to provide effective reference for power companies to carry out demand management, so that electricity can better serve the economic development. The research results show that the cost of electricity consumption of the proposed method is only $2.9426, which can effectively improve the economic efficiency of the system and improve the supply and demand balance.


Keywords

Fuzzy mathematical model, Adaptive fuzzy control, Real-time regulation, user-side energy, Flexible load, 65Z05


Citation

Lu, Y. & Tan, B. (2023). A fuzzy mathematical model-based approach to customer-side energy management for power companies. Applied Mathematics and Nonlinear Sciences, 8(1). https://doi.org/10.2478/amns.2023.1.00127
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