Optimal Scheduling Strategy for Active Distribution Networks Considering Two-Stage Zonal Clustering of Flexible Loads

With the massive increase of flexibility resources within the active distribution network, the challenge is how to efficiently and deeply exploit the adjustable potential of flexibility resources to participate in optimal dispatch. In this regard, an optimal scheduling strategy for active distribution networks considering two-stage zonal clustering of flexible loads is proposed. First, a variety of flexible load adjustable models are established; then, a two-stage partitioned clustering method for flexible loads is proposed; then, an active distribution network optimization scheduling strategy considering the demand response of massive flexible loads is established; Finally, an arithmetic simulation validation in the improved IEEE 33-node distribution system demonstrates that the proposed method can effectively exploit the flexible load regulation potential and improve the system operation economy.