• 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.
Pan et al. (Sun,) studied this question.