Enhancing Asset Efficiency of Active Distribution Networks Based on Maximum Power Supply Capacity Analysis

As distributed resources are increasingly connected to the distribution network, the active distribution network's carrying capacity and asset utilization efficiency of various types of resources are facing serious challenges. To address this issue, this paper proposes a distribution network planning method that takes into account the interests of multiple stakeholders, including photovoltaic (PV), energy storage system (ESS), and line expansion. This method can evaluate the maximum power supply capacity of the distribution network and the construction cost required to configure resources under the conditions of PV integration, ESS, and line expansion and achieve asset efficiency optimization. This paper first introduces the factors that affect the maximum supply capacity (MSC), then builds a resource optimization model considering PV, ESS, and line expansion while ensuring the power supply capacity. Next, the Benders decomposition algorithm is used to decompose the model into main and sub-problems for solving to obtain the optimal planning strategy for asset efficiency. Finally, through case studies, the effectiveness of the proposed method is verified.