2017
DOI: 10.1016/j.ref.2017.10.004
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Grid integration of photovoltaic and wind based hybrid distributed generation system with low harmonic injection and power quality improvement using biogeography-based optimization

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Cited by 18 publications
(5 citation statements)
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“…Commercial and industrial sectors are exploring new methods to minimize the impact of poor power quality on their industries and are now leaning towards adopting distributed generation, especially renewable energy sources into their systems. [76] discusses the use of integrating distributed generation sources along with UPQC-MLIs to improve power quality in medium to high-voltage distribution. In the proposed structure of UPQC-MLI+DG, instead of traditional two-level inverters, multilevel inverters integrated with distributed generation sources are utilized as shown in Figure 14.…”
Section: G Multilevel Inverter and Distributed Generation Integrated ...mentioning
confidence: 99%
“…Commercial and industrial sectors are exploring new methods to minimize the impact of poor power quality on their industries and are now leaning towards adopting distributed generation, especially renewable energy sources into their systems. [76] discusses the use of integrating distributed generation sources along with UPQC-MLIs to improve power quality in medium to high-voltage distribution. In the proposed structure of UPQC-MLI+DG, instead of traditional two-level inverters, multilevel inverters integrated with distributed generation sources are utilized as shown in Figure 14.…”
Section: G Multilevel Inverter and Distributed Generation Integrated ...mentioning
confidence: 99%
“…In a study by the authors of [ 21 , 22 ], a method using a dual voltage source inverter (DVSI) was examined to improve the efficiency of microgrids (µGs). This method allows for a more reliable power supply to sensitive loads within the µG.…”
Section: Introductionmentioning
confidence: 99%
“…Different optimization techniques have been utilized for hybrid energy systems with storage to test different cases. In [9], a particle swarm optimization technique has been applied to find the optimal size of generation/storage system. The cost of energy was considered as an objective function to determine the number of batteries, PV, wind turbines, and DG based on social spider technique in [10] and the analytical technique in [11].…”
Section: Introductionmentioning
confidence: 99%