Research on Regional renewable sources planning Model Based on Improved Ant Colony Algorithm

Abstract

Renewable sources planning is a planning method that considers the integration of renewable energy and buildings from the regional level, and matches and coordinates with energy demand, traditional energy supply system and different renewable energy sources. It is an important means to realize the microcirculation of regional energy system and is of great significance to realize the construction of low-carbon eco-city. Compared with the world advanced level, the unit energy consumption of China's major energy-consuming products is also very large. Therefore, developing new technologies and improving energy efficiency in China is one of the important ways to achieve energy conservation and consumption reduction. This paper introduces the connotation and planning methods of regional renewable sources planning, focusing on the evaluation of renewable sources, the prediction of regional building energy consumption, the matching method of energy demand and renewable resources, the feedback evaluation method of renewable sources planning and the safeguard measures for planning implementation. Considering that the optimization problem has obvious nonlinear and structural characteristics, ant colony algorithm is chosen to calculate the optimization results.