Optimization study of distributed balanced operation of aggregates based on cloud-edge collaboration
HUANG Weigang
QIAO Kun
ZHAO Dejie
SUN Zhuoqun
ZHANG Yiping
WU Xiaogang
Abstract：With the"dual-carbon"goal and the construction of a new type of power system,the integration of large-scale renewable energy sources into the grid poses a challenge to the stability of the system.At the same time,the traditional centralized regulation mode is difficult to cope with the real-time,flexibility and security needs of large-scale distributed energy.Aiming at the above problems,this paper carries out a corresponding research on the optimization of distributed balancing operation of aggregates under the dual-carbon background.Firstly,on the basis of analyzing different control methods of aggregates,an aggregator regulation architecture based on cloud-side collaboration is constructed,and a distributed balancing control mechanism is introduced into this architecture;secondly,for the day-ahead phase,an optimization model for the day-ahead operation of aggregates is constructed with the goal of maximizing the overall benefit and minimizing the carbon emission;and lastly,the reasonableness and validity of the proposed method are proved through an arithmetic example analysis.
Keywords：cloud-side collaborationregulatory architectureoperation optimizationdistributed balancingaggregates
Publication Date：2025-09-28
Online Publishing Date：2025-11-05(First online date of this platform, not the publication date of the document)
Pages：8( 171-178 )