Operation Of CROA Smart Grid Electric Car Based Scheduling

Developing clean energy, ensuring energy security, solving environmental protection problems and combating climate change are the core contents of energy revolution in recent years. As important means to solving energy problems, smart grid and electric vehicles (EV) are developing rapidly. Switching EV into smart grid, the effect of energy storage of EV can be utilized. Thereby, the advantages of smart grid can be strengthened fully, the load can be shifted effectively, and the ability of taking in clean energy can be enhanced. Besides, with the peak and valley price is more and more popular, the users of EV can choose time to charge and discharge for EV according to the high or low price. In this way, the users can get some cash subsidy and decrease the cost of using EV.In this paper, a new intelligent optimization algorithm-chemical reaction optimization algorithm (CROA) is studied first. This algorithm is a swarm intelligent algorithm which is based on the collisions and energy conversions of molecules during chemical reaction process and simulates the interaction among molecules during chemical reaction process by which molecules finally reach stable low energy state. The algorithm is proved to be effective to deal with high-dimensional, multivariate, multi-constraints problems.In this paper, the main research contents include the ordered charging and discharging strategy based on real-time pricing and the multi-objective coordinated scheduling of EV and renewable generations.In the research on the ordered charging and discharging strategy of EV under real-time pricing, a mathematical model of ordered charging and discharging of EV under real-time pricing is built, which takes maximizing income of EV users as objective function and takes constraints of charging/discharging power and constraints of the electricity quantity stored in the battery as constraints. And the model is solved by CROA. The results indicate that the model can bring profits to EV users and decrease the cost of using EV.In the research on the coordinated scheduling of EV and renewable generations, a multi-objective coordinated scheduling model, in which EV and renewable generations are taken into account simultaneously, is established, which takes the minimized output fluctuation of renewable generation and the maximized income of EV users as objective function, and takes the electricity quantity stored in the battery, charging/discharging power and charging/discharging times as constraints. Besides, in allusion to such defects of CROA as slow convergence and low accuracy, the update mode of particle swarm optimization algorithm is integrated with the improved CROA. Meanwhile, a virtual ideal molecular based multi-objective optimization algorithm is used for the first time, and the multi-objective optimization algorithm is simple and practical. Finally, the established model is solved by the multi-objective improved CROA based on virtual ideal molecule. Results of calculation example show that through reasonably arranging the charging/discharging of EV, the output fluctuation of renewable generation can be effectively suppressed and the income of EV users can be increased.