| dc.description.abstract | The development stature of Uganda and its attractiveness to investments, technological development and industrialization such as establishment of industrial parks and factories has led to a gradual increase in the total power demand on the network infrastructure. This leads to increase in size and complexity of power systems networks with a large number of interconnections that expose the system to various outages and faults which results to system instability. Therefore, it is necessary for a power system to remain in a state of operating equilibrium under normal operating conditions and to regain an acceptable state of equilibrium after being subjected to a disturbance such as sudden load changes, outages and transmission system faults.
This report covers the modeling, transient stability and contingency analysis of the 33 kV Jinja Industrial Network using DigiSilent software. The data has been obtained from UMEME, UETCL, ESKOM and ArcGIS maps.
Under transient stability analysis, a three-phase fault has been simulated on each determinant lines that include Jinja Kakira 1, OFS Jinja 1, OFS Njeru 1 and Njeru MMP 1 to analyze the effect of fault location and critical clearing time on the system stability. In order to protect the network, it is suggested that the faulted part is to be isolated rapidly from the rest of the system so as to increase stability margin and hence decrease damage.
There was a frequency violation resulting from the three phase short circuits. For rotor angle stability, the generators at Owen falls exhibited the same time to regain stability (12 s) after the fault occurred for all scenarios. From these observations it was established that an introduction of the spot load has no effect on the transient stability of the network.
Similarly Contingency analysis has been by simulating outages of transmission lines that include Njeru MMP 1, OFS Njeru 1, Jinja Kakira 1 and OFS Jinja 1 lines. Severity Index has been employed as the key performance index to evaluate the effect of each outage on different system components. Severity Index refers to the ratio of change in power flow before and after a contingency to the power flow before contingency. The system is said to be safe if the severity index value is less than one. Power flows have been studied before and after outage and analyzed to obtain the severity index.
On various occasions, the severity index on Njeru MMP 1 and Njeru MMP 2 lines was greater or equal to one. This implication meant that there is an inadequate power supply to the Njeru MMP industrial park and need to reinforce the power supply by establishing more lines. | en_US |
