Enhancing Energy Management through Deregulated Market Models and Dynamic Reduction Techniques
This study explores the impact of market deregulation on new producer facilities and emphasizes the importance of increasing the complexity of mathematical models to improve energy management. We discuss the necessity for model reduction to simplify studies, focusing on static and dynamic reduction methods. The analysis includes comparison with the ARENE simulator, using dynamic equivalence and load aggregation. Our findings reveal minimal voltage profile deviations in urban networks and showcase various methodologies for reducing computation time and variables, highlighting potential tools for implementation.
Enhancing Energy Management through Deregulated Market Models and Dynamic Reduction Techniques
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Presentation Transcript
Introduction • Deregulation of the market: facilities to new producers • Increase the order of the mathematical model • Need of model reduction to simplify studies: • Impacts studies, real-time energy management, control regulation design,…
Static Reduction • Aggregation of different networks components • Comparison with ARENE simulator
DG MV/LV Dynamic Reduction • Modal Reduction Analysis • Particularly interesting to stability studies, computation of generator regulations gain • Dynamic equivalents • Physical model • Aggregated equivalent load • Aggregated equivalent generator
Dynamic Reduction Voltage profile comparison in an urban French network 0.3% deviation in the worst case
Conclusions • Test of different methodologies of reduction • Reduction of the number of variables to compute in the programs • Reduction in time simulation (ARENE simulator) • Possibility of model reduction implementation in a tool
