| dc.description.abstract | Abstract
Recently, growing electrical energy demand and increasing integration of renewable energy sources in power system have led to new challenges for the transmission system operators and on the network planning step. Thus, it is required to investigate and analyze properly the impacts of integrated RES on the power system. By connecting power sources like wind and solar to the grid using converters, there will be a significant impact on the performance and reliability of the electricity grid. This is largely because of the variability of renewable resources and lack of large-scale economical storage capability. At the same time the amount of high voltage direct current (HVDC) links connecting the Nordic power system to other grids is increasing. When importing power, this also contributes to imbalance power in the system. In addition, flexible load and increasing energy consumption also have problem in the stability of the power network. One way of controlling those sudden changes in the network is by real-time digital simulation and accurate dynamic load model. This is to provide a response at exact time to return the system in stability. In this thesis, a dynamic load model is developed and implemented in the Python Dynamic Power System Simulation (DynPSSimpy).
Real-time digital simulation is specially designed hardware and software integrated computer system used to study Electromagnetic Transient (EMT) Phenomena in power systems. As the name implies, it can perform power system simulations at computational speeds equal to real-time operation. However, modelling of detailed networks in RTS would require many hardware resources. The main goal of this thesis is to develop an equivalent dynamic load model for the stability analysis of the networks in RTS, which should not only enhance RTS’s capability of simulating large power systems, but more importantly, improve the accuracy of model networks. The accuracy of dynamic load modelling plays a very important role in analyzing the stability systems. To respond for every event in the system with accurate injection or extraction of desired power to the network.
The system used in the study is the Nordic 44 model, which is an aggregated model of the Nordic power system. All simulations are performed in a static and dynamic power system simulation tool in Python script and dynamic load model, which are built using differential equations. In the future the Nordic power system supply will be dominated by renewable energy sources (RES) to achieve zero-carbon emissions, where the integration of wind and PV is increasing. At the same time, the demand side is more flexible due to new technology, such as electric vehicles, electrification of transport etc. Therefore, real-time simulation and accurate dynamic load models are the key to control the complex power system in real-time. | |
