基于聚合降维的多温控负荷集群配电网协同调度方法OA

Collaborative optimal operation of thermostatically-controlled load(TCL)clusters and distribution networks can improve both economy and flexibility.However,existing collaborative dispatch methods struggle to simultaneously ensure privacy protection and solution efficiency.To address this problem,this paper proposes a collaborative dispatch method for a distribution network with multiple TCL clusters based on aggregation dimensionality-reduction.Firstly,a non-iterative dispatch framework for the distribution network incorporating multiple TCL clusters is constructed.Secondly,based on inner approximation via polytopic affine transformation,a aggregation dimensionality-reduction modeling method for TCL clusters is proposed to characterize the aggregate feasible region and the aggregate cost function of the TCL clusters.Then,a collaborative optimal dispatch model for the distribution network is established by considering various dynamic reconfigurations of switches and multiple TCL clusters,which enables efficient solution of the proposed dispatch problem of the distribution network while guaranteeing cluster information privacy.Finally,the effectiveness of the proposed method is verified on a modified 75-node distribution network.