Coordinated optimization Method for Distribution Areas Considering User Willingness and Regulation Cost

Driven by the policy of building a new type of power system, distributed power sources have started to be connected to the low-voltage distribution network in large numbers. The high proportion of distributed Photovoltaic exacerbates the problem of voltage crossing limits in the low-voltage distribution network. However, users' requirements for power quality are getting higher and higher. In order to effectively improve the capacity of distribution station area for new energy consumption and further reduce the impact of distributed power access on distribution network, new customer-side devices such as electric vehicles, distributed energy storage, air conditioning and electric heating have received wide attention in recent years as an important means to effectively realize the benign interaction between demand and supply of power system. In this paper, we propose an inter-station power complementary coordination strategy considering the regulation cost of customer-side devices and the willingness of customers to regulate, including the optimization model of intra-station regulation command decomposition and the optimization model of inter-station complementary coordination, which improves the consumption capacity of distributed power sources and the power quality through the coordination and cooperation between customer-side devices. The optimization model is solved by genetic algorithm, and the effectiveness of the method is verified by example design.