33-Node Distribution Network Model with Distributed Generation Integration

The 33-node distribution network with integrated distributed generation serves as a benchmark model in power system research, commonly employed to analyze the operational impacts of distributed energy resource integration. This model utilizes power flow calculations to examine key parameters such as voltage profiles and power flow directions after connecting distributed generation sources like photovoltaic systems and wind turbines. Traditional distribution network power flow analysis typically employs forward-backward sweep methods or Newton-Raphson algorithms. When integrating distributed generation, the model must account for power output fluctuations and node type conversions (e.g., PV nodes transforming into PQ nodes). The 33-node model enables simulation of high-penetration renewable energy scenarios by strategically configuring DG connection points and capacities, demonstrating potential issues like voltage violations and line overloads. In developing such models, particular attention must be paid to inverter control characteristics of distributed generators and the implementation of adaptive algorithms for multi-source coordination. The program architecture typically comprises three core modules: network topology processing for bus-branch relationships, Jacobian matrix modification to handle variable node types, and convergence optimization techniques for numerical stability. This implementation framework proves valuable for microgrid planning studies and active distribution network analysis, with key functions including automatic node type identification and dynamic power injection calculations based on renewable generation profiles.