Abstract
At present, people are increasingly concerned about the problem of building load scheduling. For this problem, the building users are classified and the characteristic of building users is analyzed, a model of automatic demand response for building intelligent electricity scheduling is built and it is composed of several objective functions, such as economy, comfort and stability of family intelligent power. By building two populations include parasitic group and host group, memory and group information sharing ability about particles in particle swarm optimization are introduced to simulate biological parasitic behavior mechanism, an improved gravitational search algorithm is proposed. Finally, the veracity and effectiveness of the proposed algorithm are verified through the simulation.
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