Power System Dynamics
As generation sources become more diverse, bulk energy transfer trading increases and networks are increasingly interconnected, the risk of system instability increases. Furthermore, with rapidly changing grid configurations resulting from generation dispatch, it is almost impossible for the planning process to keep pace in providing accurate, verified information on the dynamics implications of these changes.
Because of this, decisions on operational constraints often have to be based on overly conservative estimates. These decisions can have huge financial implications, including the requirement for major capital expenditure. As well as contributing to the ever-growing problem of transmission bottlenecks, these unnecessarily conservative operating constraints seriously compromise the performance capabilities of generation and transmission companies.
Psymetrix's PhasorPoint solutions provide a fast and accurate means of measuring the actual dynamic performance of the power system. Indeed, PhasorPoint provides system planners with powerful tools for:
- System baselining and risk assessment
- Validation of models
- Post-event analysis
- Investigating dynamics problems
Baselining and reviewing dynamics observations periodically can provide valuable information on the various risks of instability and the effectiveness of procedures to manage these risks. If this is carried out at regular intervals, changes in the dynamics of the system can be identified before they cause a major problem, and the information used to prioritise work on dynamics.
Measurement based validation of dynamic models ensures that the models accurately reflect the dynamic performance of the network over a wide range of practical operating conditions. This is invaluable in ensuring optimal operational and planning decision-making.
Continuous, accurate time-synchronised measurements of power system variables and dynamics make post-event analysis quicker and easier and helps provide a deeper understanding of the root causes and progression of events. This information can also help analysts to understand the characteristics of dynamics problems and identify actions most likely to resolve the problem.