TECHNICAL REGULATION OF VOLTAGE QUALITY IN ELECTRICAL GRIDS WITH SOURCES OF DISTRIBUTED GENERATION

2016 ◽  
Vol 2016 (3) ◽  
pp. 55-57 ◽  
Author(s):  
A.F. Zharkin ◽  
◽  
V.O. Novsky ◽  
S.O. Palachov ◽  
◽  
...  
Keyword(s):  
Distributed Generation ◽  
Technical Regulation ◽  
Electrical Grids ◽  
Voltage Quality

scholarly journals Impacts of Distributed Generation in Electrical Grids

2020 ◽  
Author(s):  
Maria Cecilia C. Lima ◽  
Handerson Marques ◽  
Thommas Kevin Sales Flores ◽  
Fabiano Salvadori ◽  
Lucas V. Hartmann ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Power Factor ◽  
Power Grid ◽  
Energy Sources ◽  
Impedance Matrix ◽  
Electrical Grid ◽  
Preliminary Results ◽  
Electrical Grids ◽  
Common Coupling ◽  
The Impact

Unconventional energy sources such as wind, solar and biomass represents more and more an alternative in substitution of conventional energy sources. In effect, many studies still need to be done to clearly identify the impacts that the insertion of distributed generation (DG) sources represent in the power grid. In this paper, an analysis of the impact of the distributed generation (DG) insertion in the electrical grid is realized, based on impedance matrix, grid voltage and power factor (PF). Benchmarks were created to relate the sensibility in a point common coupling (PCC) to the DG insertion. Preliminary results show that sensibility does not change with the load or the PF of the DG.

scholarly journals Optimal multi-objective distributed generation location and capacity by elite strategy genetic algorithm considering timing characteristics

2020 ◽  
Vol 185 ◽  
pp. 01018
Author(s):  
Xinquan Wei ◽  
Xiangjun Duan ◽  
Lei Chen ◽  
Weiyan Zheng
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Power Supply ◽  
Retention Mechanism ◽  
Improved Genetic Algorithm ◽  
Distributed Power ◽  
Elite Strategy ◽  
Voltage Quality ◽  
Voltage Deviation ◽  
Node Voltage

In this paper, a distributed generation location and capacity optimization model considering the probability of scenario occurrence is established. The optimization objective is to minimize the total cost of investment, annual power loss of distribution network and node voltage deviation. The improved genetic algorithm with elitist retention mechanism is used to solve the model. The IEEE33 system is used to show the location and constant capacity of the distributed power supply under different conditions. It shows that the reasonable and optimized configuration of the distributed power supply can obtain better voltage quality and minimize the cost function, which verifies the effectiveness of the proposed model.

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