Distribution Systems
Unbalanced Load Flow
Optimal Power Flow
Optimal Capacitor Placement
Reliability Assessment
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Reliability Assessment
Advanced distribution reliability assessment provides engineers with an efficient and effective tool for estimating the performance of power systems. Using flexible input parameters, results can be quickly obtained for both radial and looped systems. Powerful calculation techniques allow engineers to choose the depth of system design and the associated results.
Key Features
System reliability
Customer oriented indices
Energy (cost) indices
Sensitivity analysis
Single & double contingency
Capabilities
Model reliability characteristics of each component
Implement user-defined parameters & settings
Calculate bus and load point reliability indices
Calculate system reliability indices
Calculate reliability energy (cost) indices
Rank element contributions to energy (cost) indices
Calculate effect of simultaneous faults
Select types of components for plotting
Availability & quality of power assessment
Long-term planning & redundancy
Single & double contingency studies
Customer Oriented Indices
System Average Interruption
Frequency Index [SAIFI]
System Average Interruption
Duration Index [SAIDI]
Customer Average Interruption
Duration Index [CAIDI]
Average Service Availability Index [ASAI]
Average Service Unavailability Index [ASUI]
Sector interruption cost estimates [CDF] (Customer Damage Function)
Energy (Cost) Indices
Expected Energy Not Supplied [EENS] sensitivity analysis
Expected Interruption Cost [ECOST] sensitivity analysis
Element contributions to the EENS & their rankings
Element contributions to the ECOST & their rankings
Order of most contributing components to EENS & ECOST
Interrupted Energy Assessment Rate [IEAR]
Interruption cost library
Component parameter library
System Reliability Indices
Average failure rate [l]
Average outage duration [r]
Annual outage duration [U]
Reporting
Graphical display of reliability results
Load point/bus reliability indices
System reliability indices
EENS & ECOST sensitivity analysis