Users of PyEPLAN

PyEPLAN has been adopted by various institutions worldwide for microgrid planning and research applications. The following universities, research institutes, companies and non-governmental organisations are known to have either used PyEPLAN in the past, or continue to use PyEPLAN.

Please let us know if you use the software by contacting us at p.aristidou@ieee.org!

Universities and Research Institutes

  • University of Leeds - UKRI GCRF CRESUM-HYRES project

  • Cyprus University of Technology - Sustainable Power Systems Lab

  • ETH Zurich - Power Systems Laboratory

  • DTU Denmark - Technical University of Denmark

  • Newcastle University UK - School of Engineering

  • Imperial College London - Department of Electrical and Electronic Engineering

  • University of Nairobi - Department of Electrical and Information Engineering

Companies and Non-Governmental Organisations

  • Alderney Electricity Ltd - Island microgrid planning

  • Rural Electrification Agencies - Developing country applications

  • Energy Consultancies - Commercial microgrid projects

  • International Development Organizations - Sustainable energy projects

Research Applications

PyEPLAN has been used in various research areas:

  • Rural Electrification: Planning microgrids for off-grid communities

  • Island Energy Systems: Optimization of island microgrids

  • Renewable Energy Integration: Analysis of high renewable penetration scenarios

  • Energy Storage Optimization: Battery and pumped storage planning

  • Grid Resilience: Analysis of system reliability and security

  • Economic Analysis: Cost-benefit analysis of different technology mixes

Case Studies

Watoto Village, Kenya: Rural electrification project demonstrating the application of PyEPLAN in developing regions.

Alderney Island: Island microgrid optimization showing the tool’s capability in isolated power systems.

Academic Research: Multiple peer-reviewed publications using PyEPLAN for microgrid analysis and optimization.

Contributing Users

We welcome contributions from users in the form of:

  • Bug Reports: Help improve PyEPLAN by reporting issues

  • Feature Requests: Suggest new capabilities and improvements

  • Code Contributions: Submit pull requests for enhancements

  • Documentation: Help improve tutorials and examples

  • Case Studies: Share your applications and results

To contribute, please visit our GitHub repository or contact the development team.