JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (6): 57-62.doi: 10.6040/j.issn.1672-3961.0.2017.533

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Load optimization model of smart home management system based on adaptive particle swarm optimization

MA Hanjie1, LIN Xia2, XU Xiaohui2, ZHANG Jian2, ZHANG Zhisheng1*   

  1. 1. College of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, Shandong, China;
    2. State Grid Zaozhuang Power Supply Company, Zaozhuang 277100, Shandong, China
  • Received:2017-09-21 Online:2017-12-20 Published:2017-09-21

Abstract: In the situation of the development of Energy Internet, the basic structure of smart home management system(SHMS)was designed, the intelligent house management system load optimization model was constructed, which met the demand response strategy for power grid and the user's requirement to save the electricity cost. Particle swarm optimization(PSO)algorithm for introducing attenuation factors was used to solve the model, which got the program to meet the needs of users. The simulation results were based on the actual time-sharing price, outdoor temperature and load parameters. After the simulation, the user load curve was improved and the electricity consumption and energy used were obviously reduced, which proved the algorithm was effective.

Key words: load optimization, smart home management system, adaptive PSO, Energy Internet

CLC Number: 

  • TM73
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