Research Review of Distributed Photovoltaic Management and Control Based on Artificial Intelligence Technology

With the “two-carbon” goal and the whole county photovoltaic policy, distributed photovoltaic installed capacity has been large-scale development. A large number of distributed power supplies make the distribution network active and irregular power flow distribution, resulting in heavy overload of equipment, unqualified power quality and other problems, which seriously affect the safe operation of the distribution network. Artificial intelligence (AI) is one of the most disruptive science and technology at present, with strong processing power in computational intelligence, perceptual intelligence and cognitive intelligence. This paper analyzes the factors affecting the development of distributed photovoltaic from the aspects of weather, policy, market, technical cost and power grid carrying capacity. The paper analyzes the combination of AI technology from three aspects: access planning, power prediction and collaborative regulation, and finally analyzes and looks forward to the challenges faced by artificial intelligence in distributed PV management and control.