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Scheduling for Participation of a Virtual Power Plant in Energy and Reserve Markets Considering Renewable Energy Sources
Hosseinzadeh, Ali | 2024
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 57065 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Abbaspour Tehrani Fard, Ali; Ehsan, Mehdi
- Abstract:
- The appearance of renewable sources has created a more diverse energy mix and has made it challenging for grid operators to maintain stability in energy systems. The concept of a virtual power plant is the integration of different energy sources into a single entity that is collected and controlled through a central energy management system. It enables these sources to participate in electricity markets. This research presents a framework for the participation of a virtual power plant (VPP) in day-ahead (DA), reserve, and real-time (RT) energy markets. VPPs face several uncertainties, such as wind turbine (WT) production, demand, the status of calling the reserve, and energy market prices. These uncertainties are modeled using a set of scenarios. The paper utilizes a price-based Demand Response Program (DRP) for better demand-side management. The VPP comprises flexible loads, energy storage systems (ESS), conventional generators (CG), and WTs. A two-stage stochastic scheduling model maximizes the VPP's expected profit in wholesale and reserve energy markets. In the first stage, the energy management system (EMS) determines its bidding strategies, considering the technical constraints of its assets in the DA and reserve markets one day in advance. EMS can bid in the RT market in the second stage after realizing the actual values of uncertain parameters and the scheduling results in the first stage. The VPP's optimization problem is modeled as mixed-integer linear programming (MILP) in the GAMS 25.1.3 and solved by the CPLEX solver. The proposed framework's implementation on a 33-bus distribution network verifies the model's execution and demonstrates the impact of DRP on VPP scheduling
- Keywords:
- Virtual Power Plant (VPP) ; Uncertainty ; Energy Market ; Reserve Market Management ; Stochastic Programming ; Simultaneous Energy and Reserve Market ; Energy Management ; Reserve Market Settlement
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