Assessment and Influencing Factor Analysis of Multi-Type Load Acceptance Capacity of Active Distribution Network

With the increasing proportion of Distributed Generation (DG) in distribution networks and growing electricity business expansion demand, the integration of DG and new loads imposes significant impacts on distribution networks. To address the incomplete evaluation of active distribution network acceptance capacity, this paper proposes a multi-modal load acceptance capacity assessment methodology incorporating load growth patterns while comprehensively analyzing DG integration impacts. Firstly, differentiated load dynamic models are established to reveal the spatiotemporal distribution characteristics of multi-type loads. Secondly, a load growth model is presented based on spatiotemporal probability decomposition, accompanied by a multi-constraint acceptance capacity evaluation index system tailored to distribution networks. Moreover, an improved repetitive power flow method is developed, and a proposed acceptance capacity evaluation model is proposed to achieve the comprehensive evaluation of multi-type load acceptance capacity in active distribution networks. Finally, the effectiveness of the proposed acceptance capacity evaluation model is proven by a case study of an IEEE 33-node system, and multidimensional analysis is also conducted to investigate the impacts of DG type, DG installation location, DG proportion, and user-side energy storage system (ESS) access on the distribution network’s load acceptance capacity.