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Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

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Abstract

This paper proposes the generation scheduling approach for a microgrid comprised of conventional generators, wind energy generators, solar photovoltaic (PV) systems, battery storage, and electric vehicles. The electrical vehicles (EVs) play two different roles: as load demands during charging, and as storage units to supply energy to remaining load demands in the MG when they are plugged into the microgrid (MG). Wind and solar PV powers are intermittent in nature; hence by including the battery storage and EVs, the MG becomes more stable. Here, the total cost objective is minimized considering the cost of conventional generators, wind generators, solar PV systems and EVs. The proposed optimal scheduling problem is solved using the hybrid differential evolution and harmony search (hybrid DE-HS) algorithm including the wind energy generators and solar PV system along with the battery storage and EVs. Moreover, it requires the least investment.

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Authors and Affiliations

  1. Department of Railroad and Electrical Engineering, Woosong University, Seoul, Republic of Korea

    S. Surender Reddy & Jae Young Park

  2. Department of Railroad and Civil Engineering, Woosong University, Seoul, Republic of Korea

    Chan Mook Jung

Authors
  1. S. Surender Reddy
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  2. Jae Young Park
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  3. Chan Mook Jung
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Correspondence to Jae Young Park.

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Surender Reddy, S., Park, J.Y. & Jung, C.M. Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm. Front. Energy 10, 355–362 (2016). https://doi.org/10.1007/s11708-016-0414-x

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  • DOI: https://doi.org/10.1007/s11708-016-0414-x

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