| dc.description.abstract | Power generation is transitioning away from centralized electricity generation facilities with the
increase of energy consumption from renewable sources, such as solar and wind. Along with
rising demand for electric vehicle charging, this shift strains the electric grid. With limited
energy storage options, most generated energy must be consumed immediately. To deliver
energy efficiently, voltage and frequency must be maintained at stable levels. The integration
of distributed renewable sources, directly connected to the distribution grid, can produce large
variations in supply and demand, reducing efficiency. This increases the complexity of operations and requires improved methods for network monitoring and control. In this thesis, a
modified case4 dist distribution network is used to develop a dynamic model in state-space
form to analyze voltage sensitivity and transient response in the system. The performance
of the dynamic model is compared with solutions of power flow equations solved using the
well-established Newton-Raphson method. The results show that the discrepancy between the
models is minimal. The voltage sensitivity analysis reveals how load changes affect the bus
voltages of the network. Transient voltage response analysis shows high voltage variation and
the rapid convergence to the nominal values. The model can be integrated with advanced
analysis and control design to improve the efficiency and reliability of distribution network
operations, and it is proposed as future work. | |
