Research on Optimization and Scheduling Method of Power System Main Grid Under New Energy Access

This paper proposes a multi-objective optimization method for power grid scheduling with large-scale renewable energy integration, balancing economy, safety, and environmental concerns. A model evaluates pollutant emissions, generation costs, and load variance, while constraints ensure operational feasibility. A hybrid GA-PSO algorithm improves optimization efficiency. Results show reduced costs and higher renewable energy utilization.