Research on the Intelligent Control of Photovoltaic Power Generation in Power Grids of Steel Enterprises
The construction of photovoltaic power generation strongly promotes the economic development of iron and steel enterprises,and those photovoltaic power stations should adopt the"self-generated and self-consumption"mode of operation for the design and power consumption.Af-ter photovoltaic power generation is connected to the electrical system of the plant,the control sys-tem needs to automatically identify the power point corresponding to each electrical load under dif-ferent operating modes,that is,the topological relationship between the load and the power point.To realize this function,a fast dynamic topology identification technique based on an improved depth-first search algorithm(DFS algorithm)is investigated to achieve optimal topology path retrieval under arbitrary grid architecture.Based on the actual operation mode identified by the topology,the grid in-telligent control system can carry out real-time power regulation and power prediction and control of photovoltaic power generation to realize the purpose of comprehensive utilization of residual energy,heat and new energy in the plant.
photovoltaic power generationtopology identificationintelligent controlpower predictiondepth-first search algorithm
万方数据
维普
