This role pays less than
89%
of similar roles. Most pay
$150,000–$222,000
— the shaded band above.
At the midpoint, this role pays about
$120k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About American Electric Power (AEP)
American Electric Power (AEP) is one of the largest electric utilities in the United States, delivering electricity to customers across 11 states through an extensive transmission and distribution network. Industry: Electric Utilities
American Electric Power (AEP) currently has
17 open roles
on FindRole.
Listed pay typically runs
$110,000–$129,000
across 17 roles with salary data.
The Transmission Planning Modeling Engineer joins the East Transmission Planning Modeling organization to support the PJM region. This role is responsible for developing, maintaining, and validating transmission system models used for planning, reliability assessments, operational studies, and NERC compliance activities. The engineer will model infrastructure such as lines, transformers, and generators across various voltage levels while incorporating future network changes like load growth and facility upgrades. Day-to-day tasks include performing data validation, resolving discrepancies, and coordinating with internal stakeholders and external entities to ensure accurate system representation. Key technical tools include PSS-ODMS, Siemens PSS®E, ASPEN OneLiner, and TARA. The role requires expertise in power flow, short circuit, and stability assessments, as well as knowledge of inverter-based resources like solar and wind technologies, while ensuring compliance with NERC Reliability Standards through rigorous data quality management and reporting.
Develop, maintain, and validate transmission system models using tools like PSS-ODMS and PSS®E.
Model infrastructure components including lines, transformers, generators, and breakers across various voltage levels.
Create future network models incorporating load growth, generation changes, and planned system upgrades.
Coordinate with internal stakeholders and external entities to collect and validate technical equipment data.
Perform automated and manual data validation to identify errors and resolve inconsistencies in modeling practices.
Support PJM planning processes by managing model reviews, submittals, and responding to data requests.
Ensure compliance with NERC Reliability Standards regarding data quality and model accuracy.
Drive continuous improvement by developing documentation, training materials, and standardized engineering processes.
What we're looking for
A Bachelor's degree in engineering from an ABET accredited program is required (or a Master's/PhD with 2 years of experience).
An Engineering Technology degree with a Professional Engineer (PE) license can satisfy the education requirement.
Registration as a Professional Engineer (PE) in any U.S. state or Puerto Rico is preferred.
Experience developing, maintaining, and validating transmission planning models using PSS-ODMS, PSS®E, ASPEN OneLiner, TARA, or similar tools is preferred.
Experience supporting power flow, short circuit, stability, or reliability assessments using transmission planning models is preferred.
Knowledge of inverter-based resources (solar/wind) and synchronous generation modeling is preferred.
Experience working with PJM planning processes or regional transmission organization data exchanges is preferred.
Experience supporting NERC Reliability Standards and compliance programs is preferred.
PSS/E
PSLF
PSCAD
ASPEN Oneliner
Python
VBA
Power Flow Analysis
Transient Stability
EMT Analysis
Short Circuit Analysis
HVDC
Renewable Energy
Grid Codes
NERC Standards
IEEE 2800
Control Systems
Power Electronics
RF Modeling
5G
4G LTE
Signal Processing
Matlab
C++
Python
AI
PyTorch
TensorFlow
Digital Front-End
Automatic Gain Control
Linear Algebra
Random Processes
NTN
RF Modeling
5G
4G LTE
Signal Processing
Matlab
C++
Python
AI
PyTorch
TensorFlow
Digital Front-End
Automatic Gain Control
Linear Algebra
Random Processes
NTN
RF Modeling
5G
4G LTE
6G
Signal Processing
Matlab
C++
Python
AI
PyTorch
TensorFlow
Digital Front-End
Automatic Gain Control
Linear Algebra
Random Processes
NTN