Optimization of Regional Allocation of New Energy Power Based on Ant Colony Optimization Algorithm

This paper studies a new energy domain optimization based on the precipitation optimization algorithm (ACO). With the rapid development of renewable energy, the efficient and economical regional distribution of new energy generation is an important issue facing the present energy system. In this paper, we propose a heuristic search algorithm to optimize the distribution of new energy in different regions by simulating the transmission mechanism of pheromone in the ant feeding process. As a result, the accuracy of the body algorithm reached 0.98, and the recall rate was 0.99. This proved that the colonial algorithm could effectively balance the supply and demand of new energy and boost the stability and economics of energy systems. This method has made remarkable results in reduction of system cost and improvement of energy efficiency. Therefore, this paper considers that the colonial algorithm has significant significance in optimizing the regional distribution of new energy and provides strong support for sustainable development of energy systems.