Abstract
Battery energy storage system has become an inevitable element in smart distribution network due to massive deployment of community level distributed photovoltaic power generation system. The battery energy storage system not only participates in the backup power supply but also have the potential to provide numerous distributed ancillary services. In this paper, Slime mold optimization algorithm is applied to optimally allocate the photovoltaic generation units, battery energy storage systems and switchable shunt capacitor banks in distribution network while minimizing the two objective functions i.e., active power loss of distribution system and annualized capital cost of integrated equipments (photovoltaic units, battery energy storage systems and shunt capacitors) simultaneously. The proposed optimization framework is implemented on an IEEE 33 bus distribution network for different cases and compared with Non-dominated Sorting Genetic Algorithm II. The comparison of simulation results for different cases reveals the promising advantages in various technical and economic issues along with an additional benefit of investment deferral for distribution feeder up-gradation up to a significant span of years.
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