Research on Optimal Configuration of Distributed Photovoltaic with Typical Day Scene Generation Technology

Distributed photovoltaics are connected to the distribution system in large numbers and their optimal allocation is a new hot topic for research. In this paper, we propose a distributed photovoltaics optimal configuration method based on typical daily scenarios. First, this paper preprocesses the original input distributed photovoltaics output history data and uses K-means clustering algorithm to generate distributed photovoltaics typical daily output scenarios in all year round. Then, this paper establishes a distributed photovoltaics optimal allocation model with the sum of various types of costs of distributed photovoltaics access as the objective, and solves the model using an improved genetic algorithm. Finally, this paper uses a typical day scenario to simulate and validate the distribution system example of IEEE 33-bus. The analysis results display that the distributed photovoltaics optimal allocation model proposed in this paper can boost the economy of the distribution system and significantly decrease the system loss of the distribution system.