Capacity Assessment of Distributed Generation in New Generation Distribution Networks Based on Different Load Levels

With the changing energy structure in our country, the rapid development of distributed generation (DG) represented by photovoltaic and wind power has become a trend, and large-scale integration into the distribution network is underway. However, if the scale of distributed generation integration exceeds the carrying capacity of the distribution network, it can lead to a series of problems, such as fluctuations in grid frequency and voltage, destabilizing the power system, and potentially causing equipment failures, outages, or power interruptions, thus deteriorating power quality. Therefore, in order to ensure the coordinated development of distributed generation, loads, and the power grid, it is necessary to determine the allowable capacity margin for distributed generation integration, providing guidance for the planning and construction of distributed generation systems and distribution networks. This study proposes a data-driven assessment method to determine the carrying capacity of distributed generation under different load levels. By considering various influencing indicators of carrying capacity and using data processing techniques such as the time probability distribution matrix, an improved entropy weighting method is employed to determine the key indicators. Based on the nature and context of different loads, the loads are classified into different levels, and based on the parameter limits of the loads, the thermal stability evaluation is conducted in the actual operating state and safety boundaries of the distribution network. By calculating the maximum injection of DG through reverse load factor and progressively reducing it in stages to meet the specified criteria, the carrying capacity of the distributed generation system is determined.