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基于阶梯碳交易的综合能源微电网联合控制研究

许雅淋 段俊东

热力发电2024,Vol.53Issue(8):105-115,11.
热力发电2024,Vol.53Issue(8):105-115,11.DOI:10.19666/j.rlfd.202401008

基于阶梯碳交易的综合能源微电网联合控制研究

Study on joint control of integrated energy microgrid based on stepped carbon trading

许雅淋 1段俊东2

作者信息

  • 1. 河南理工大学电气工程与自动化学院,河南 焦作 454150
  • 2. 河南理工大学电气工程与自动化学院,河南 焦作 454150||河南省煤矿装备智能检测与控制重点实验室,河南 焦作 454003
  • 折叠

摘要

Abstract

Under the"dual-carbon"background,in order to realize low-carbon emission and maximize wind power consumption of the microgrid system,an optimal scheduling strategy with a two-layer model of integrated energy system(IES)containing carbon capture power plant(CCPP)and power-to-gas(P2G)coupling and vehicle into the grid(V2G)is proposed.Firstly,at the low-carbon technology level,to address the problem that the CCPP and P2G equipment operate out of sync in time,a liquid storage tank is added as a CO2 buffer station in the middle of the CCPP and the P2G equipment,and a mathematical model containing the CCPP,the P2G equipment and the gas turbine is established.Moreover,a laddered carbon transaction is established to impose low-carbon emission constraints on the IES.Secondly,in order to fully utilize the dual characteristics of EV load and energy storage,strategies are formulated to guide EV charging and discharging during wind abandonment hours and peak hours of the IES to carry out energy time shifting.Finally,at the level of economic efficiency,the integrated operating cost minimization is taken as the objective function,and MATLAB is used to invoke the GUROBI solver to solve the problem.By setting up different scenarios for comparison,the results show that the scheduling strategy can improve the level of microgrid wind power consumption while realizing the low-carbon economic operation of the system.

关键词

低碳/微电网/储液罐/电动汽车/阶梯碳交易

Key words

low carbon/microgrid/liquid storage tanks/electric vehicles/stepped carbon trading

引用本文复制引用

许雅淋,段俊东..基于阶梯碳交易的综合能源微电网联合控制研究[J].热力发电,2024,53(8):105-115,11.

基金项目

国家自然科学基金项目(61703144) National Natural Science Foundation of China(61703144) (61703144)

热力发电

OA北大核心CSTPCD

1002-3364

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