limitations of optimization models for long
play

Limitations of optimization models for long- term planning - - PowerPoint PPT Presentation

Limitations of optimization models for long- term planning - representing market designs, policy interventions and agent behavior Kris Poncelet KU Leuven/EnergyVille Long-term energy-system or power-system optimization models: two perspectives


  1. Limitations of optimization models for long- term planning - representing market designs, policy interventions and agent behavior Kris Poncelet KU Leuven/EnergyVille

  2. Long-term energy-system or power-system optimization models: two perspectives E.g., MARKAL/TIMES, ReEDS, etc. Social perspective: Normative/prescriptive Maximize welfare/minimize cost Private agents’ perspective Descriptive Maximize total surplus/minimize cost Market equilibrium 2 6/09/2017

  3. Research question What are the limitations of optimization models in representing the market equilibrium? Policy interventions Market designs Agent behavior 3 6/09/2017

  4. Optimization models - what càn be done Optimization Problem KKT Conditions Only generate electricity if the price for electricity covers variable costs Only invest if infra-marginal rents cover fixed costs Infra-marginal rents can only be positive when generating at rated capacity 4 6/09/2017

  5. Optimization models - what càn be done Optimization Problem KKT Conditions Only generate electricity if the price for electricity + feed-in premium covers variable costs Only invest if infra-marginal rents cover fixed costs Infra-marginal rents can only be positive when generating at rated capacity 5 6/09/2017

  6. Optimization models - what càn be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Capacity payment, Rational, perfect schemes: e.g., feed- capacity market information (risk in premium neutral), price- • Emission trading takers • Carbon tax markets, green certificate markets • Technology • acceptance Non-level playing field: eligibility • Etc. criteria, product definition, market access • Incomplete markets: e.g., zonal pricing • Etc. 6 6/09/2017

  7. Optimization models - what cannot be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Net metering Strategic behavior schemes: e.g., feed- • • Average price Risk-averse behavior in tariff, minimum contracts • Heterogeneous price for green costs of capital certificates (hurdle rate) • Grandfathering of emission allowances 7 6/09/2017

  8. Duality Role of linking constraints in optimization models Enforce physical/political constraints Represent markets (dual variable reflects the price) Examples: 𝑓𝑚 Supply-demand balance: σ 𝑗 𝑕𝑓𝑜 𝑗,𝑢 = 𝑟 𝑢 𝑞 𝑢 ∀𝑢 Implication: no decoupling possible between the physical/political constraint and the corresponding market All variables appearing in physical/political constraints valued according to the dual variable of that constraint (+ a constant) Variables not appearing in a physical/political constraint cannot be valued according to the endogenously determined price 8 6/09/2017

  9. Optimization models - what cannot be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Net metering Strategic behavior schemes: e.g., feed- • • Average price Risk-averse behavior in tariff, minimum contracts • Heterogeneous price for green costs of capital (hurdle rate) certificates • Grandfathering of emission allowances 9 6/09/2017

  10. Example: minimum price for green certificates Suppliers have obligation Generators can decide to sell their certificates: To the market (suppliers): @ To the DSO: at guaranteed minimum price: @ Issue: in an optimization model: every green certificate generated will be implicitly valued at the market price 10 6/09/2017

  11. Alternative models Mixed Complementarity Problems (MCP) + more flexible - Computation time increases Parametrized optimization problems (iteratively solving optimization problems) + Small barrier for implementation - Computation time, convergence Dedicated solution techniques + reduce computation time - low flexibility 11 6/09/2017

  12. Optimization models – relevance of what cannot be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Net metering Strategic behavior schemes: e.g., feed- • • Average price Risk-averse behavior in tariff, minimum contracts • Heterogeneous price for green costs of capital certificates (hurdle rate) • Grandfathering of emission allowances 12 6/09/2017

  13. Optimization models – relevance of what cannot be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Net metering Strategic behavior schemes: e.g., feed- • • Average price Risk-averse behavior in tariff, minimum contracts • Heterogeneous price for green costs of capital certificates (hurdle rate) • Grandfathering of emission allowances 13 6/09/2017

  14. Optimization models – relevance of what cannot be done Policy Market design/ Agent behavior interventions imperfections and other • • • RES support Net metering Strategic behavior schemes: e.g., feed- • • Average price Risk-averse behavior in tariff, minimum contracts • Heterogeneous price for green costs of capital certificates (hurdle rate) • Grandfathering of emission allowances 14 6/09/2017

  15. Conclusions and further research Optimization models cannot distinguish between physical/political constraints and the corresponding markets Certain market designs, policy interventions and behavioral elements cannot be represented Particularly the impact of behavioral elements (heterogeneous cost of capital, risk averseness) deserves further attention in long-term optimization models 15 6/09/2017

Recommend


More recommend