Research on Active Distribution Network Power Flow Optimization Method Based on Energy Storage Regulation

Background: Due to the influence of illumination resources, the output of photovoltaic power generation exhibits intermittency, randomness, and volatility. The large-scale integration of photovoltaic power into the distribution network can cause fluctuations in bus voltage and line flow and, in severe cases, may lead to system voltage and flow limits being exceeded, increasing the risk of system operation. Methods: In response to this, this study proposes an active distribution network flow optimization method based on energy storage regulation. This method takes the total system operation cost, which includes elements such as the cost of photovoltaic power generation, network loss cost, energy storage regulation cost, and curtailment cost, as the optimization objective. It uses the bus voltage, line flow, and transformer load of the active distribution network as the constraint for accommodating space. Additionally, it considers the charging and discharging regulation capacity and sensitivity index of distributed energy storage. Based on this, a flow optimization model for the active distribution network is established, which is driven by the joint cost and sensitivity of the minimum total adjustment amount and the minimum number of control nodes. The model is solved using the path-tracking method. Results: In this paper, the improved IEEE39-bus system is used as an example for analysis, verifying the correctness and effectiveness of the proposed method. Conclusion: Research shows that this method can fully consider the technical and cost factors of high-proportion distributed photovoltaic grid integration. By optimizing the power flow of the distribution network through coordinated control of distributed energy storage, the proposed method achieves the minimum control adjustment amount while minimizing the number of nodes involved in the adjustment. This ensures the safe, reliable, and economical operation of the system.