Non-iterative coordinated dispatch of active distribution network with clustered flexible loads via dimension-reduced aggregation

• A non-iterative coordinated dispatch method for ADN with numerous flexible loads. • A dimension-reduced aggregation model for numerous flexible loads is constructed. • Non-iterative coordinated dispatch has a low computation burden and high accuracy. Flexible loads (FLs), as a massive flexibility resource of the demand side, are essential in enhancing the operational economics of the active distribution network (ADN). However, efficiently exploiting such flexibility remains a major challenge due to their small capacity, numerous, and diverse parameters. This paper proposes a non-iterative coordinated dispatch strategy for ADN that integrates multiple clustered FLs, including thermostatically controlled loads and electric vehicles. A dimension-reduced aggregation method for clustered FLs is proposed, which uses a polytope-based affine transformation to construct the aggregated operation model of clustered FLs. Based on this, a non-iterative coordinated dispatch model is established for ADN with clustered FLs and network reconfiguration. Case studies are implemented on the IEEE 69-bus test network. Results show that the proposed dispatch strategy effectively reduces computing time by about 87.78% compared to the centralised dispatch strategy, while incurring a cost error of approximately 0.35%, while protecting privacy information. Additionally, the proposed aggregation method results in lower operational costs for ADN with clustered FLs compared to traditional aggregation methods.