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- Tasks: Develop Python tools for power systems automation and simulation.
- Company: Join Smartedge’s innovative team, working remotely in the UK.
- Benefits: Enjoy flexible remote work and opportunities for professional growth.
- Why this job: Make an impact in renewable energy while honing your Python skills.
- Qualifications: Experience in Python development and power systems is essential.
- Other info: Connect with us if you're passionate about engineering and automation!
The predicted salary is between 36000 - 60000 £ per year.
Smartedge’s Client is looking for a skilled Python Developer (Consultant) with experience in power systems automation to create a tool for transforming PSS/E .raw files into Power Factory node-breaker models. The role includes:
- Parsing, data mapping, GUI/CLI development, automation of load flow simulations, and structured output generation.
- Interpreting and validating PSS/E .raw file content for accurate power system representation.
- Developing Python scripts to parse .raw files (PSS/E format) and extract BUS, LOAD, GEN, IBR, and transformer data.
- Designing and implementing conversion logic for mapping bus-branch data to node-breaker format.
- Using Power Factory Python API to automate model creation, P/Q assignment, and topology setup.
- Implementing load flow simulation automation and parsing results into structured formats (CSV/JSON).
- Developing a lightweight GUI or CLI for selecting input files, triggering conversions, and displaying logs.
- Handling error reporting, convergence failures, and terminal mismatches during simulation.
- Packaging scripts into .exe format for Windows 10/11 deployment.
- Providing detailed user and developer documentation.
Experience working as a design engineer/manager for a DNO, Developer or Renewable company in EHV systems or HV/LV systems will be given high weightage. Preparation of Technical design reports for Distribution sector (11 KV up to 132kV). Working knowledge of Transmission and distribution systems including network protection & Re-Enforcement schemes. Experience in using a power flow modelling tool such as Power Factory, IPSA, DINIS, PSSE etc. will be beneficial. Experience with Digslient Power Factory and Siemens PSS/E. Strong understanding of node-breaker vs. bus-branch topologies and substation layouts. Familiarity with validation parameters (voltage limits, thermal ratings, angle differences). Good documentation and communication skills for report writing and stakeholder engagement. Strong Python development experience in power systems or engineering domains. Proficiency with Python 3.7+ and libraries for text parsing, file handling, and interface development. Experience with Power Factory Python API and COM Automation. Understanding of PSS/E .raw file structures and associated components. Strong troubleshooting and error handling capabilities in model-based simulations. Ability to write clean, modular, and well-documented code.
Power Systems Automation Developer (Python Development) employer: Smartedge Solutions
Contact Detail:
Smartedge Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power Systems Automation Developer (Python Development)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power Factory and PSS/E. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the power systems automation field. Attend webinars, join relevant LinkedIn groups, or participate in forums to connect with others who may have insights or referrals for this role.
✨Tip Number 3
Prepare to discuss your troubleshooting and error handling experiences in model-based simulations. Be ready to share specific examples that demonstrate your capabilities in these areas, as they are crucial for this position.
✨Tip Number 4
Showcase your ability to write clean and well-documented code. Consider creating a small project or GitHub repository that highlights your Python skills, particularly in power systems, to share during your interview.
We think you need these skills to ace Power Systems Automation Developer (Python Development)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, particularly in power systems automation. Include specific projects or tools you've worked on that relate to the job description, such as PSS/E .raw file parsing or GUI/CLI development.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the requirements. Mention your experience with Power Factory and any relevant projects that demonstrate your ability to handle load flow simulations and data mapping.
Showcase Relevant Experience: When detailing your work history, focus on roles where you’ve developed Python scripts for power systems or engineering domains. Highlight any experience with technical design reports or working with DNOs, developers, or renewable companies.
Demonstrate Problem-Solving Skills: Include examples of how you've tackled challenges in previous projects, especially those related to error handling and troubleshooting in model-based simulations. This will show your capability to manage convergence failures and terminal mismatches effectively.
How to prepare for a job interview at Smartedge Solutions
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python, especially in the context of power systems automation. Highlight specific projects where you've developed scripts for parsing data or automating simulations, as this will demonstrate your technical proficiency.
✨Understand Power System Concepts
Familiarise yourself with key concepts such as node-breaker vs. bus-branch topologies and the structures of PSS/E .raw files. Being able to explain these concepts clearly will show that you have a solid understanding of the domain.
✨Prepare for Technical Questions
Expect technical questions related to load flow simulations, error handling, and data mapping. Practise explaining your thought process when troubleshooting issues, as this will highlight your problem-solving skills.
✨Communicate Effectively
Good communication is crucial, especially when discussing complex topics. Be ready to articulate your ideas clearly and concisely, and prepare to engage with interviewers by asking insightful questions about their projects and challenges.
