Modeling and Coordination Strategies for the Cluster Effects of Distributed Photovoltaic Power and Air Conditioning

On the one hand, the continuous high temperature in summer leads to a surge in electricity consumption, and even regional electricity shortages, which puts enormous pressure on the power grid's security. On the other hand, the explosive growth of electrical measurement data collected by data acquisition and monitoring control systems requires the integration of big data technology and power system models to analyze and to analyze and improve the operational performance of the power grid. This work summarizes various related studies on modeling and coordination of electric load clusters, such as distributed photovoltaic energy and air conditioning load, and introduces three related methods. Firstly, this paper introduces a method to maximize the integration benefits of new energy generation and demand response in the scenario of air conditioning cluster. Secondly, research on key technologies of ordered and electrically related correlation analysis is introduced. Finally, a distribution network power flow calculation model considering dynamic correlation is presented.