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Demand Side Management in Smart Grid by Using Flower Pollination Algorithm and Genetic Algorithm

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

Abstract

The introduction of Smart Grid (SG) in recent years provide the opportunity to the consumer to schedule their load in such an efficient manner that reduces the bill and also minimizes the Peak to Average Ratio. This paper focuses on scheduling the appliances in a more feasible and energy conservative way to satisfy both consumer and utility. In this paper, Flower Pollination Algorithm (FPA) is proposed to schedule the appliances in order to balance the time varying demand of consumer that is the basic aim of Demand Side Management (DSM). This paper emphasis on reducing the cost and Peak to Average Ratio (PAR) at same time. We used Real Time Pricing (RTP) tariff to calculate the consumer bill on the bases of real time energy consumption information. The results of proposed algorithm are compared with the results of Genetic Algorithm (GA), an existing technique to schedule the load consumption. The compared results show the significance of using this novel algorithm for DSM.

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Author information

Authors and Affiliations

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

    Bushra Zaheer Abbasi, Sakeena Javaid, Shaista Bibi, Mahnoor Khan, Ayesha Anjum Butt & Nadeem Javaid

  2. Arid Agricultural University, Rawalpindi, 46000, Pakistan

    Maryyam Nawaz Malik

Authors
  1. Bushra Zaheer Abbasi
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  2. Sakeena Javaid
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  3. Shaista Bibi
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  4. Mahnoor Khan
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  5. Maryyam Nawaz Malik
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  6. Ayesha Anjum Butt
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  7. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Abbasi, B.Z. et al. (2018). Demand Side Management in Smart Grid by Using Flower Pollination Algorithm and Genetic Algorithm. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_40

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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