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A Hybrid Tabu-Enhanced Differential Evolution Meta-Heuristic Optimization Technique for Demand Side Management in Smart Grid

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

Energy management is a demanding task which needs efficient scheduling of multiple appliances in a smart home. In this paper, for the scheduling of different appliances in a smart home, we proposed a hybrid of two meta-heuristic techniques. The proposed technique is the hybrid of enhanced differential evolution (EDE) and tabu search algorithm (TS) and it is named tabu EDE (TEDE). This technique is used in a smart home for the scheduling of appliances to reduce peak to average ratio (PAR) for the utility and increase user comfort. For evaluating the performance of TEDE, we produced home energy management system. In this work, we have considered a single home with different smart appliances. These appliances are categorized into three groups: interruptible appliances, non-interruptible and base appliances. We compare a hybrid TEDE with EDE and TS in three parameters: cost, PAR and waiting time. Results show that TEDE performed well in reducing PAR at consumer side as compare to EDE and TS. TEDE also help in increasing user comfort as compared to EDE and TS algorithm. We considered user comfort in terms of waiting time. However, cost is compromised in TEDE but perform well in terms of other parameters: PAR and user comfort. In addition, the relationships between PAR, electricity cost and user comfort are also calculated in all techniques.

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Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Nadeem Javaid, Syed Shahab Zarin, Ihtisham Ullah, Mohsin Kamal, Urva Latif & Rahim Ullah

Authors
  1. Nadeem Javaid
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  2. Syed Shahab Zarin
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  3. Ihtisham Ullah
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  4. Mohsin Kamal
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  5. Urva Latif
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  6. Rahim Ullah
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Javaid, N., Zarin, S.S., Ullah, I., Kamal, M., Latif, U., Ullah, R. (2019). A Hybrid Tabu-Enhanced Differential Evolution Meta-Heuristic Optimization Technique for Demand Side Management in Smart Grid. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_4

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