Research on Transmission and Distribution Cooperative Control Technology Based on ant Colony Algorithm and Energy Demand Side Response Model

In recent years, the scale of wind power grid connection is growing, and the frequency control problem after wind power grid connection has become a research hotspot. The wind turbine generator unit has decoupling operation characteristics, so it does not have frequency regulation capability. Traditional frequency modulation mainly depends on conventional units and energy storage systems. With the goal of minimizing the total travel time of the road network and considering the balance of the road network flow, a collaborative model of urban traffic control and guidance is established. Based on the in-depth study and analysis of the current integrated energy system and power demand side response, and aiming at the problem that the traditional demand side response can not meet the requirements of the application of integrated energy system in the thermal system description, a joint optimal dispatching model of power, gas and heat integrated energy system with the participation of the user side is proposed. Therefore, this paper introduces the idea of ant colony algorithm, and uses this algorithm to solve the model to get the best path and the best signal timing scheme. Finally, a small road network is used for simulation test. Compared with the actual traffic flow, it shows that this method can effectively balance the road network flow and save the total travel time of the road network.