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Considering the Effect of Operational Flexibility in Generation Expansion Planning

Pourahmadi, Farzaneh | 2019

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 52737 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hosseini, Hamid
  7. Abstract:
  8. The increasing variability of renewables and volatile chronological net-load in modern smart grids engenders significant operational risks of an uncertain sufficiency of flexible capacity. Assessing the operational flexibility of the grid with high penetration of renewable resources remains an issue of critical importance. Operational flexibility insufficiency may bring about two major problems: 1) there may exist no feasible solution for operation under uncertain conditions due to insufficient available flexibility capacity;2) even if the solution feasibility criterion is ensured, dispatch limitations of the flexible resources may force the system operating point to deviate from the optimal economic point with increased re-dispatch. Since the impact of the increased operation cost under different uncertain conditions would be significant in a long horizon time planning, it is vital to consider operational flexibility in generation expansion planning. In this thesis, an optimal uncertainty set at the unit commitment time scale is proposed and characterized as a reliable operational metric. A novel robust-based framework is developed to quantify the economically optimal uncertainty set such that both feasibility and optimality robustness are guaranteed. Furthermore, the flexible capabilities of storage units, non-quick-start, and quick-start generating units are formulated to investigate their effects on the proposed operational flexibility metrics. Additionally, considering temporal correlations associated with the uncertain wind generations, both static and dynamic uncertainty sets are studied in this thesis. Numerical simulations on the modified IEEE 73-bus system will verify the effectiveness and efficiency of the suggested framework and the proposed solution techniques.This thesis also addresses a centralized generation expansion planning problem, accounting for both long- and short-term uncertainties along with operational flexibility requirements.The long-term uncertainty (demand growth) is modeled via a set of scenarios, while the short-term uncertainty (wind power) is described by a family of probability distributions having the same moments obtained from historical data. In the operational stage, a detailed representation of unit commitment constraints is considered to model operational flexibility requirements. To make this problem tractable, we solve it in linear decision rules, and use a tight relaxation approach to convexify the unit commitment constraints.The resulting model eventually is recast as a mixed-integer second-order cone program.We consider the IEEE 118-bus test system as a case study, and explore the performance of the proposed model using an out-of-sample analysis. It is demonstrated that the short-term uncertainty handling by the proposed distributionally robust model gives more effectiveout-of-sample performance compared to a benchmark model following a given distribution while maintaining computational tractability
  9. Keywords:
  10. Permeability ; Renewable Energy Resources ; Uncertainty ; Generation Expansion Planning ; Operational Flexibility

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