Pjm regional transmission expansion plan knowledge
Generator interconnection study methodology expertise
The role involves setting up and running automated power flow studies using Python to support AES Clean Energy's greenfield prospecting efforts
Job Summary
The role involves setting up and running automated power flow studies using Python to support AES Clean Energy's greenfield prospecting efforts.
Candidates will analyze the transmission grid to identify optimal interconnection locations for solar, storage, and wind projects across the United States.
AES is a Fortune 500 company ranked #1 globally in renewable energy sales to corporations, offering a platform to drive global decarbonization.
Matching Summary
The role involves setting up and running automated power flow studies using Python to support AES Clean Energy's greenfield prospecting efforts.
Skills & Requirements
Must-have
Power flow software proficiency TARA PSS/E
PJM Regional Transmission Expansion Plan knowledge
Generator interconnection study methodology expertise
Python or scripting language automation skills
Nodal production modeling experience PROMOD UPLAN
Nice-to-have
Strong organizational and project prioritization skills
Familiarity with MISO NYISO transmission systems
Passion for renewable energy and sustainability
Ability to work in high-growth environment
Key Requirements
BS in Electrical Engineering or related field
5 years of experience in transmission planning or interconnection studies
Extensive knowledge of PJM Generator Interconnection study methodology