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Optimal Operation of a Price-Maker Virtual Power Plant in Frequency Constrained Electricity Market

Mousavi, Mohammad | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50933 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. In this thesis, optimal offering strategy problem of a virtual power plant (VPP) as a price-maker player in day-ahead frequency constrained electricity market is presented. The optimal offering strategy problem is modeled as a bi-level optimization problem. In the upper level, the total profit of VPP is maximized. In the lower level, the clearing conditions of frequency constrained electricity market is modeled. The proposed bi-level optimization problem is reformulated as a mathematical programming with equilibrium constraints (MPEC) problem by using Karush-Kuhn-Tucker (KKT) conditions. Then, the proposed MPEC problem, which is nonlinear and hard to solve by commercial solvers, is transformed into a mixed integer linear programming (MILP) problem by using strong duality theorem and big-number mathematical technique. Here, stochastic optimization are included in the modeling to enable the VPP for optimization in the presence of uncertainties, e.g., renewable energy resource (RER) generations,demands, and offering strategies of rivals. Finally, the effectiveness of proposed model is investigated by implementing it on various case studies
  9. Keywords:
  10. Smart Power Grid ; Risk Management ; Mathematical Programs with Equilibrium Constraints (MPEC)Game Theory ; Distributed Energy Resorurces (DER) ; Virtual Power Plant (VPP) ; Frequency Constrained Electricity Market ; Offering Strategy Problems

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