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Load Scheduling Optimization Using Heuristic Techniques and Combined Price Signal

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

In this paper, a comparative analysis of two heuristic algorithms, i.e., enhanced differential evolution (EDE) and tabu search (TS) with unschedule load approach for its optimality is proposed. This paper aims to achieve minimum electricity bill and maximum peak to average ratio (PAR) reduction while considering the factor of user satisfaction. In order to achieve our aim, an objective function of electricity cost reduction is made based upon the scheduling strategies. A combined model of pricing schemes, i.e., time of use (ToU) and critical peak pricing (CPP) is used to calculate electricity bill and to tackle the instability. We implemented a state of art user-defined taxonomy of appliances in our paper to deal with the user comfort appropriately in a residential area. Simulation results shows that our proposed strategy works better to encourage the users for intelligent power consumption.

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References

  1. Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electr. Power Energy Syst. 78, 320–325 (2016)

    Article  Google Scholar 

  2. Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy Build. 129, 452–470 (2016)

    Article  Google Scholar 

  3. Zhang, D., Evangelisti, S., Lettieri, P., Papageorgiou, L.G.: Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks. Energy Convers. Manag. 110, 113–124 (2016)

    Article  Google Scholar 

  4. Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A., Niaz, I.A.: A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid. Energies 10(3), 319 (2017)

    Article  Google Scholar 

  5. Zhao, Z., Lee, W.C., Shin, Y., Song, K.B.: An optimal power scheduling method for demand response in home energy management system. IEEE Trans. Smart Grid 4(3), 1391–1400 (2013)

    Article  Google Scholar 

  6. Rasheed, M.B., Javaid, N., Ahmad, A., Khan, Z.A., Qasim, U., Alrajeh, N.: An efficient power scheduling scheme for residential load management in smart homes. Appl. Sci. 5(4), 1134–1163 (2015)

    Article  Google Scholar 

  7. Khan, M.A., Javaid, N., Mahmood, A., Khan, Z.A., Alrajeh, N.: A generic demandside management model for smart grid. Int. J. Energy Res. 39(7), 954–964 (2015)

    Article  Google Scholar 

  8. Sharma, I., Dong, J., Malikopoulos, A.A., Street, M., Ostrowski, J., Kuruganti, T., Jackson, R.: A modeling framework for optimal energy management of a residential building. Energy Build. 130, 55–63 (2016)

    Article  Google Scholar 

  9. Ha, L.D., Ploix, S., Zamai, E., Jacomino, M.: Tabu search for the optimization of household energy consumption. In: 2006 IEEE International Conference on Information Reuse and Integration, pp. 86–92. IEEE, September 2006

    Google Scholar 

  10. Ferdous, J., Shatabda, S., Huda, M.N.: A tabu-based heuristic optimization algorithm for load shedding minimization. In: 2015 International Conference on Advances in Electrical Engineering (ICAEE), pp. 332–335. IEEE, December 2015

    Google Scholar 

  11. Ma, J., Chen, H.H., Song, L., Li, Y.: Residential load scheduling in smart grid: a cost efficiency perspective. IEEE Trans. Smart Grid 7(2), 771–784 (2016)

    Google Scholar 

  12. yan Xu, H.: The Grid task scheduling based on Tabu Search Algorithm. In: World Automation Congress (WAC), 2012, pp. 1–4. IEEE, June 2012

    Google Scholar 

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Authors and Affiliations

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

    Iqra Fatima, Sikandar Asif, Sundas Shafiq, Ch Anwar ul Hassan, Sajeeha Ansar & Nadeem Javaid

Authors
  1. Iqra Fatima
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  2. Sikandar Asif
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  3. Sundas Shafiq
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  4. Ch Anwar ul Hassan
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  5. Sajeeha Ansar
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  6. Nadeem Javaid
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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. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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© 2018 Springer International Publishing AG

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Fatima, I., Asif, S., Shafiq, S., Hassan, C.A.u., Ansar, S., Javaid, N. (2018). Load Scheduling Optimization Using Heuristic Techniques and Combined Price Signal. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_74

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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