Multi Objective Flexible Load Scheduling in Smart Home Based on Grey Wolf Algorithm

doi:10.16182/j.issn1004731x.joss.17-0188

Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (6): 1216-1222.doi: 10.16182/j.issn1004731x.joss.17-0188

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Multi Objective Flexible Load Scheduling in Smart Home Based on Grey Wolf Algorithm

Bao Yi¹, Dai Bo², Wang Zhihua¹, Wang Wanliang³

1. Hangzhou Telek Technology Co., Ltd., Hangzhou 310012, China;
2. State Grid Corporation of China at Hangzhou, Hangzhou 310007, China;
3. Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310014, China

Received:2017-06-01 Revised:2017-07-10 Online:2019-06-08 Published:2019-12-12

Abstract

Abstract: A three level electricity price model is designed based on the electricity consumption. A comfort model of multi parameters is designed for optimizing the grid load control of temperature and the humidity, light intensity and human activity. Grey wolf algorithm is used to solve the multi-objective problem. The grey wolf algorithm has its superiority in solving high dimensional and multi peak of complex function problems. Theoretical and experimental analysis shows that the grey wolf algorithm in accuracy and stability is better than particle swarm optimization algorithm and differential evolution algorithm. The simulation results show that the proposed algorithm can make user comfort and reduce the power consumption.

Key words: grey wolf algorithm, multi objective, flexible load, smart grid, smart home

CLC Number:

TP3-0

Bao Yi, Dai Bo, Wang Zhihua, Wang Wanliang. Multi Objective Flexible Load Scheduling in Smart Home Based on Grey Wolf Algorithm[J]. Journal of System Simulation, 2019, 31(6): 1216-1222.

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Multi Objective Flexible Load Scheduling in Smart Home Based on Grey Wolf Algorithm

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