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Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm |
S. SURENDER REDDY1,Jae Young PARK1,*(),Chan Mook JUNG2 |
1. Department of Railroad and Electrical Engineering, Woosong University, Republic of Korea 2. Department of Railroad and Civil Engineering, Woosong University, Republic of Korea |
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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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Keywords
battery storage
electric vehicles (EVs)
microgrid (MG)
optimal scheduling
solar photovoltaic (PV) system
wind energy conversion system
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Corresponding Author(s):
Jae Young PARK
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Just Accepted Date: 12 May 2016
Online First Date: 15 June 2016
Issue Date: 07 September 2016
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