برنامه ریزی توسعة تولید در بازار برق: یک چارچوب نوین بر اساس MPEC دینامیکی تصادفی

• Presenting a novel multi-period bi-level framework solving GEP.• Obtaining more realistic results through dynamic MPEC than static approach.• Investing more peak technologies in energy only markets than base technologies.• Enforcing inelastic demands to cap market prices.• Influencing admissible loading of transmission network on market indicators.This paper presents a novel framework for generation expansion planning (GEP) of restructured power systems under uncertainty in a multi-period horizon, which includes generation investment from a price maker perspective. The investment problem is modeled as a bi-level optimization problem. The first level problem includes decisions related to investment in order to maximize total profit in the planning horizon. The second level problem consists of maximizing social welfare where the power market is cleared. Rival uncertainties on offering and investment are modeled using sets of scenarios. The bi-level optimization problem is then converted to a dynamic stochastic MPEC and represented as a mixed integer linear program (MILP) after linearization. The proposed framework is examined on a typical six-bus power network, MAZANDARAN regional electric company (MREC) transmission network as an area of IRAN interconnected power system and IEEE RTS 24-bus network. Simulation results confirm that the proposed framework can be a useful tool for analyzing the behavior of investments in electricity markets.