COMPREHENSIVE ENERGY OPTIMIZATION RESEARCH FOR BUILDING MICROGRIDS BASED ON VIRTUAL ENERGY STORAGE

被引：0

作者：

Huo, Gaochen ^{[1
]}

Su, Haibin ^{[1
]}

机构：

[1] School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 09期

关键词：

demand side management; golden eagle optimizer; microgrid; optimize scheduling; thermal quilibrium; virtual storage;

D O I：

10.19912/j.0254-0096.tynxb.2023-0809

中图分类号：

学科分类号：

摘要：

Addressing the issue of multi-energy complementarity in current microgrid systems，a new optimization method for building microgrids with virtual energy storage is proposed. Firstly，a building virtual energy storage model is constructed based on the heat balance equation and the human comfort temperature range. Secondly，a building microgrid structure that incorporates the virtual energy storage model is established. It regulates indoor temperatures within the human comfort temperature range by providing cooling or heating，manages the charge and discharge of virtual energy storage，and introduces demand response mechanisms to optimize user energy consumption habits. Finally，two typical climate scenarios，winter and summer，are used as examples to conduct research and analysis on the operation of independent small industrial facilities with and without virtual energy storage in microgrids. The objective is to minimize the daily comprehensive operating cost of the system，using an improved Golden Eagle algorithm to optimize the solution. Simulation results show that the proposed new method can reduce the operating cost of the system. © 2024 Science Press. All rights reserved.

引用

页码：678 / 689

页数：11

共 24 条

[1]

LIU Z J, FAN G Y，, ZHANG S C，, Et al., Multi-objective optimization of distributed energy system combined with hybrid energy storage：a case study of nearly zero energy community［J］, Building science, 38, 8, pp. 44-53, (2022)

[2]

JIN X L, JIA H J，, Et al., Optimal scheduling method for a combined cooling， heating and power building microgrid considering virtual storage system at demand side［J］, Proceedings of the CSEE, 37, 2, pp. 581-591, (2017)

[3]

ZHU C Q，, CHEN H，, YIN J P，, Et al., Economic dispatching strategy for building CCHP coupling system based on virtual energy storage model［J］, Power demand side management, 23, 3, pp. 52-57, (2021)

[4]

ZHU X X, LIU Z T, XUE J F，, Et al., Optimal scheduling of integrated energy system with flexible load participation ［J］, Acta energiae solaris sinica, 44, 9, pp. 29-38, (2023)

[5]

ZHANG Z L, ZHANG H J，, SUN W Z，, Et al., Energy management of an integrated energy system based on an improved sailed fish optimizer algorithm［J］, Power system protection and control, 50, 22, pp. 142-151, (2022)

[6]

CHEN C，, Et al., Research on optimal operation of regional integrated energy system considering virtual energy storage characteristics of buildings, 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference（APPEEC）, pp. 1-5, (2020)

[7]

ZHU X, YANG J, Et al., Optimal dispatching strategy of regional integrated energy system considering virtual energy storage system［J］, Electric power construction, 41, 8, pp. 99-110, (2020)

[8]

JIANG C., Study on micro-energy grid operation strategy considering virtual energy storage［J］, Electric engineering, 24, pp. 58-59, (2022)

[9]

QIN L, SONG M., Virtual energy storage model of district cooling system based on minimum energy consumption, 2022 IEEE 5th International Electrical and Energy Conference（CIEEC）, pp. 4666-4671, (2022)

[10]

LIU Y，, Et al., Optimal scheduling method for a regional integrated energy system considering joint virtual energy storage［J］, IEEE access, 7, pp. 138260-138272, (2019)

← 1 2 3 →