| Information for: |
| Security Assessment |
| Fault Analysis |
| Power System Protection |
| Download Files |
| Net Meeting |
| UW/ASU CRCD |
| Home |
Power system engineers are challenged by the amount of data they have to observe in order to get an accurate result.
The large amount of data is due to the complexity of the system. The power engineer needs assistance to interpret the data and extract the
critical information.
Intelligent Systems can help the power system engineers to get the information that they need, and hence help them
to make a decision.
Some Intelligent Systems have been applied to the power system to help power system engineers to help interpreting the data. In this presentation three Intelligent Systems application have been used for security assessment, fault analysis, and power system protection. Knowledge Based and Logic Based System modules are used to provide decision making. Below are the short descriptions on what and how to solve each of these problems in power systems using Intelligent Systems. |
Security Assessment
Security Assessment is an important aspect of Power System Analysis. The operators of large electrical power systems must be constantly vigilant
of circumstances that could lead to a failure. When a power system is prone to failure it is said to be an insecure system. How can the ability
of the operators of large complex power systems be improved? What happens when the operators are busy or fatigued?
Does system reliability decrease? How can reliability be improved?
The use of an Expert System, called SEcurity Evaluation Knowledge-based System (SEEKS) can help improve efficiency of the Security Assessment process by behaving like experts. What makes SEEKS so Intelligent? Because rapid assessment is becoming increasingly important, expert systems have been developed to assist operators in making decisions regarding security assessment. The large size of the current power system results in a long list of contingencies to be assessed. The operational planners only analyze a small fraction of possible outage scenarios, which means the worst case single or double contingency scenarios might not be evaluated. Traditional security assessment uses numerical algorithm for contingency ranking based on the performance index. However, these algorithms do not include any insight on how to recover from the operating point that causes violations. SEEKS is an expert system which implements rule based techniques that are used to select contingencies expected to cause steady state voltage violations. It finds the worst single and double contingency scenarios for power flow evaluation based on the network structure and operating point. SEEKS quickly identifies the critical contingencies and eliminates other contingencies from further analysis. It also has remedial action rules to determine the possible control actions if any violations are found in power flow results. |
|
Fault Analysis Line faults in a power system are a major concern for Engineers working in the power generation, transmission and distribution. Despite the effort to prevent faults within the system they occur frequently and without warning. Quick action must be taken to determine the exact nature and location of these faults so that the proper action can be taken to restore the system. To improved the speed and accuracy of the fault diagnosis process, a sofware tool, based on a Logic Based System called Generalized Alarm Analysis Module, has been developed. 
What makes GAAM better compared to other fault analysis software? Other fault analysis software usually use a Knowledge Base System (KBS), where the information is store in a database, or Model Base System (MBS). Here models represent physical relationships between event messages and power system components. However, the time to diagnose a complex event using these methods increases with the amount of information. Further, none of them include protective devices, communication devices or recorders, and these factors might affect the accuracy of the fault diagnosis result. On contrary, GAAM uses Logic Base System (LBS), a set of logic formulas, that can be used to derive the fault or malfunction events. LBS does not need a search engine for inferencing. GAAM is able to handle incomplete or inaccurate data by using multiple hypothesis to explain the event. |
|
Power System Protection 
Distribution automation is becoming important to the power industry today. Each utility is competing to serve its customers with better quality and reliability .
A tool is needed to speed up the operation planning for protection device coordination in order to give better service to the customers.
This can be done by using a simple Knowledge Based Systems that allows the coordination engineers to see which are miscoordinated devices and to suggest
a better device to protect a certain feeder.
What is so intelligent about the KBS? The Current protection coordination process is usually done manually. This process is an iterative process and that can be slow to find the correct devices for coordinated behavior. The KBS module, which consists of a set of rules, can provide the information about the miscoordinated devices and suggest better devices for the protection application. This way the engineers can save time to do other tasks. |