Design of Renewable Energy Consumption Scheduling Model Based on Quantitative Feedback Theory

Authors

  • Hongyan Wang School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China
  • Zihong Zhang School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China
  • Ning Gao School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China

DOI:

https://doi.org/10.13052/spee1048-5236.4214

Keywords:

Quantitative feedback theory, renewable energy, consumption scheduling model, photovoltaic power generation, particle swarm optimization, transfer function

Abstract

In the renewable energy consumption scheduling, due to the large fluctuation of wind power output, the renewable energy consumption rate is low, and the energy consumption scheduling effect is poor. Therefore, a new renewable energy consumption scheduling model based on quantitative feedback theory is designed. For the first time, calculate the output response of wind power generation, obtain the output change rate of the wind farm at the time scale, and determine the response curve of wind power generation according to the power generation process is divided into three stages: the initial stage, the peak stage and the end stage, and the response output during the peak period, so as to obtain the transfer rate of output during the peak period. Build a mathematical model of renewable energy power generation, calculate the output state of wind power generation, and analyze the output characteristics of renewable energy storage system; Secondly, the objective weight coefficient of renewable energy consumption is determined by using quantitative feedback theory, the objective function of renewable energy consumption is constructed, the power injected by parameter nodes is determined, the quantitative feedback controller is designed by using loop shaping technology, the control structure of two degrees of freedom is determined, the objective function of renewable energy consumption is constructed, and the constraint range of renewable energy consumption capacity is determined according to static constraints such as current constraints and voltage constraints; Then, the quantitative feedback theoretical controller is designed, the input and output transfer functions of the consumption system are determined, and the renewable energy consumption scheduling model is constructed. The renewable energy consumption scheduling model is solved by particle swarm optimization through a variety of index parameters in the renewable energy consumption determined by the QFT controller. The experimental results show that the proposed model can effectively improve the renewable energy consumption rate and optimize the consumption scheduling effect.

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Author Biographies

Hongyan Wang, School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China

Hongyan Wang Obtained the bachelor’s degree in civil engineering from Guizhou University in 2005, the master’s degree in Master of Business Administration from Northwestern Polytechnical University in 2015. She currently works as an associate professor in School of civil engineering, Xi’an Traffic Engineering Institute. She is now mainly engaged in energy and construction.

Zihong Zhang, School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China

Zihong Zhang Obtained the bachelor’s degree in civil engineering from Southwest Petroleum University in 2014, the master’s degree in architecture and civil engineering from Xi’an University of Science and Technology in 2017. She is currently working as a lecturer at School of civil engineering, Xi’an Traffic Engineering Institute. She is now mainly engaged in civil engineering.

Ning Gao, School of civil engineering, Xi’an Traffic Engineering Institute, Xi’an Shaanxi 710300, China

Ning Gao Obtained the bachelor’s degree in environmental engineering from Xi’an Polytechnic University in 2012, the master’s degree in environmental science and engineering from Xi’an University of Architecture and Technology in 2015. She is currently working as a lecturer at School of civil engineering, Xi’an Traffic Engineering Institute. She is now mainly engaged in environmental engineering.

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Published

2022-12-29

How to Cite

Wang, H. ., Zhang, Z. ., & Gao, N. . (2022). Design of Renewable Energy Consumption Scheduling Model Based on Quantitative Feedback Theory. Strategic Planning for Energy and the Environment, 42(01), 57–78. https://doi.org/10.13052/spee1048-5236.4214

Issue

2023: Vol 42 Iss 1

Section

Articles