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This document summarizes a thesis project that developed algorithms for automatically controlling a hybrid power system for remote wells in Western Queensland. The project aimed to reduce the total cost of the system by decreasing generator run time and starts. An initial basic algorithm was tested in Homer Pro software and showed a small reduction in total cost compared to the standard system configuration. A more advanced algorithm was then developed in Matlab that allowed adjusting control parameters. Testing this algorithm in Homer Pro demonstrated fewer generator starts per year and less generator run time during daylight hours, instead utilizing more run time overnight.
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- 1. Intelligent Control of a Hybrid Charge Discharge System QUT Engineering Thesis Results Presentation Conor Duggan QUT Supervisor: Dr Geoffrey Walker Industry Supervisors: Cris Kerrison (QGE) and Michael Day (QGE)
- 2. Project Introduction Remote wells in Western Queensland Lots of issues with current method of providing power Hybrid power systems are becoming an option for a number of reasons Algorithms are needed for automatic control 2
- 3. Previous Research Focused mainly on viability studies for hybrid systems in remote residential areas In all cases the load profile was majority residential Only brief references to algorithms Premade options are available through industry 3
- 4. Methodology and Scope Project Aims: Reduce NPC of system with algorithm by reducing number of starts and run hours of generator Methodology: Initial test of basic algorithm on Homer Pro for comparison Create a new algorithm in Matlab Test in Homer Pro using the Matlab Link add on Removed live-site testing due to timing constraints Scope Western Queensland – specific circumstance from QGE 4
- 5. Final Results Initial testing Basic PLC coding completed on workbench at QGE Created Matlab based algorithm that allowed tweaking of control parameters Reduced the battery minimum state of charge level during the day Only $700 reduction in NPC 5 Basic Algorithm Advanced Algorithm NPC $175,036.70 $174,243.70 Generator Starts/Year 342 341
- 6. Detailed Results Much less generator running during the day This results in more running during the night and early morning 6
- 7. Thanks very much for you time Questions? 7
Editor's Notes
- Good afternoon everyone, my name is Conor Duggan and today I will be presenting my thesis for intelligent control of a hybrid charge discharge system.
- I would like to start by explaining the background behind my thesis. I have had the opportunity to work with an engineering company called QGE who proposed this topic to me