Optimal Operation of Power System Based on Artificial Intelligence Algorithm

Due to the dual impact of fossil energy crisis and environmental pollution, the power systems (PS for short here) of all countries in the world have turned to clean and clean.This has led to the rapid development of wind power generation technology, and the large-scale access of wind turbines has also brought new challenges to the flexibility of the grid.Photothermal power generation is a new type of renewable energy, which has the inertia and adjustability of traditional energy.Its flexible operation mode has obvious advantages in promoting the consumption of renewable energy, participating in power grid peak shaving and standby.In view of the shortage of flexible resources faced by the current PS in the process of low-carbon transformation, as well as the problem that it was difficult to absorb the new energy (NE) concentration areas in the northwest, this text discussed the optimal operation of the NE power generation system.The experimental results showed that the CO2 and SO2 emissions were 41 tons and 62 tons when the proportion of CSP (Concentrated Solar Power) was 20% before DC optimization.After DC optimization, its emissions were 38 tons and 59 tons.With the increase of the proportion of CSP, its operating cost has been significantly reduced, the peak-shaving effect of the unit has been significantly improved, and the pollution emission has been significantly reduced.It can be seen that the application of solar thermal power plant in the system has significant economic benefits, obvious technical advantages, and significant energy conservation and environmental protection benefits.