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Developing an Efficient Framework for Bidding Strategy of a Technical Virtual Power Plant Considering Network Reliability

Pourghaderi, Niloofar | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 49945 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmud
  7. Abstract:
  8. Virtual power plant (VPP) aggregates the capacity of many diverse distributed energy resources (DERs); it creates a single operating profile from a composite of the parameters characterizing each DER and can incorporate the impact of the network on aggregated DER output. In modern power systems, technical virtual power plants (TVPPs) play an important role enabling presence of DERs in electricity markets. This thesis addresses the optimal bidding strategy problem of a TVPP that participates in the day-ahead (DA) electricity market. TVPP schedules its energy resources in a manner that maximize its profit in DA market. Hence, the optimal schedule of its resources is achieved. In a proposed framework operational constraints of distribution network are taken into account. So, the output of the model is practically feasible. In the proposed model, photovoltaic (PV) units and micro turbines along with the electric loads are scheduled by TVPP owner. Furthermore the impact of charging-discharging cycles of electric vehicles (EVs) on customers’ load is regarded. The uncertainty in output generation of PV units is modeled by adopting fuzzy c-means (FCM) clustering algorithm. Also, the uncertainty in predicted amount of the load and charging-discharging power of EVs under TVPP observation is included in the scheduling problem by using a sophisticated analytical–probabilistic approach. In addition, the uncertainty in rivals’ offer curve is accounted using scenario based method. In this thesis TVPP regards the reliability of its underlying network in designing its bidding strategy. To do so, TVPP adopts the capability of interruptible loads around the network. The model is mathematically formulated by a bi-level problem. The proposed bi-level model consists of an upper level that represents the VPP profit maximization problem and a lower level that represents the independent system operator (ISO) DA market-clearing problem. This bi-level optimization problem is converted into a mixed-integer linear programing (MILP) model using the Karush–Kuhn–Tucker optimality conditions and the strong duality theory. The MILP model guarantees obtaining the global optimum solution. The capability of the model is examined through its implementation on the standard test system. The obtained results demonstrate the applicability and effectiveness of the proposed model
  9. Keywords:
  10. Uncertainty ; Electricity Market ; Reliability ; Distributed Generation ; Electricity Distribution Network ; Optinal Bidding Strategy ; Technical Virtual Power Plant

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