Mixture optimization of building complexes based on leveling of multiple loads

Focusing on multiple loads in multi-type buildings, proposes volatility indexes based on the maximum load and the average load. Taking the minimum volatility index as the objective function, develops an optimization model for the determination of mixing ratio of building complexes within a local area, and solves the problem with the genetic algorithm. According to the load profiles of typical building complexes, analyses the influence of objective function, weights of different loads and area type on the optimal mixing ratio, and discusses the leveling results of multiple loads and corresponding heat-to-power ratios on typical days.