Voltage regulation in unbalanced distribution systems with high penetration of photovoltaic systems - دانشکده فنی و مهندسی
Voltage regulation in unbalanced distribution systems with high penetration of photovoltaic systems
نوع: Type: Thesis
مقطع: Segment: masters
عنوان: Title: Voltage regulation in unbalanced distribution systems with high penetration of photovoltaic systems
ارائه دهنده: Provider: Mohammad Amin Vazirifar
اساتید راهنما: Supervisors: Dr. Mohammad Hassan Moradi - Dr. Mohammad Amin Ghasemi
اساتید مشاور: Advisory Professors:
اساتید ممتحن یا داور: Examining professors or referees: Dr. Saleh Razini - Dr. Mohsen Hassan Babai Nozwadian
زمان و تاریخ ارائه: Time and date of presentation: 2025
مکان ارائه: Place of presentation: 33
چکیده: Abstract: The high penetration of photovoltaic systems in distribution systems can lead to phenomena such as overvoltage and voltage imbalance in the network; which negatively affects the reliability, equipment life and power quality, posing serious challenges to the management of distribution systems. In this thesis, a voltage regulation method in unbalanced distribution systems with a high penetration of photovoltaic systems is presented to overcome these problems. In this method, voltage regulation is performed by controlling the reactive power of the PV inverter side. In the proposed method, after load distribution, voltage measurement is performed, then the PV inverter power factor is updated according to the obtained voltage and, as a result, the reactive power is updated; so that the voltage level can be maintained within the permissible range. For each study case, the same process is repeated every 10 minutes to obtain a 24-hour data series from load distribution calculations. In the proposed method, an objective function is considered for the problem formulation by considering the problem variables (PF,Q) as the objective variable. And then, in order to solve the optimization problem related to voltage control and regulation in the distribution network with high penetration level of photovoltaic sources, the genetic optimization algorithm with non-dominated sorting is used. Finally, the proposed method is applied on the implemented IEEE standard network and compared with the conventional droop method, and the results show better and more effective performance.