Energy Optimization Management Model of Regional Integrated Energy System with Large-Scale Charging Piles Based on Improved ICA

With the widespread application of new energy, energy storage system, large scale electric vehicles (EVs) in power distribution, bidirectional charging piles with energy storage, and overflow characteristics is set up on a large-scale. These greatly increase the uncertainty and randomness of the dynamic load of the regional comprehensive energy system (RIES) and bring great challenges to its effective load management. In view of the above problems, this paper considers the large-scale electric vehicle (EV) as a mobile energy storage unit to participate in the energy optimization management model of the (RIES). The model can realize the balance of energy supply and demand of RIES, reduce the fluctuation of load demand, operation management cost, and environmental pollution by regulating the charging and discharging power of EV users and the output of controllable power generation unit in the region. Finally, the improved imperialist competition algorithm (ICA) is utilized to solve the model, and different scenarios are simulated and analyzed. According to the simulation results, it can be seen that the model can realize effective management of regional load, which verifies the effectiveness and feasibility of the model.