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Managing VPPs to Aggregate Distributed Energy Resources in Distribution Systems

Alahyari, Arman | 2020

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 53527 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ehsan, Mehdi
  7. Abstract:
  8. The fast growth of technologies, most of which depend on natural sources of energy, has resulted in colossal fossil fuel consumption. In this regard, many solutions have been suggested to alleviate the side effects such as air pollution and global warming. Among these solutions, mobile storages like electric vehicles (EVs) and renewable generations have grown significantly due to being more applicable. The uncoordinated operation and uncertain nature of these distributed energy resources (DERs) can bring forward new challenges and issues to the power system operators. Thus, in many cases, it is more efficient to co-operate them in a hybrid system. In this thesis, we address a virtual power plant (VPP) that aggregates the EVs charging and discharging power into electricity markets while utilizing renewable generation capacity. We present an EV uncertainty modeling in which we introduce a new facet that incorporates all the uncertain parameters of these vehicles into the whole stochastic optimization model along with other uncertainty sources. Then, to complete the previous model and design an offer curve under uncertainties, considering the dissimilar nature of these sources, we use separate methods for uncertainty modeling. Two sources of uncertainty are considered; namely, wind power generation, modeled by an uncertainty set, and DA market price and EVs, modeled by scenarios. Opposite to classical robust optimization approaches, our model maps minimal (worst-case) profits to a conservativeness parameter, while the classical robust optimization maps conservativeness parameter to worst-case profits. By using the proposed optimization framework, a VPP operator only deals with setting a minimum-profit constraint, which is more sensible and easy for interpretation, while the required conservativeness is endogenously determined. The proposed mathematical model for constructing the offering curve is a hierarchical four-level robust optimization problem.The first-level represents the optimal decision on the price-quantity offer bids; the second- and third-level relate to the optimal identification of conservativeness parameter, and the fourth-level represents the optimal operation of the VPP managed assets. The four-level model is reformulated as a single-level mixed-integer linear programming problem. The proposed approaches and their applicability are verified using numerical simulations
  9. Keywords:
  10. Virtual Power Plant (VPP) ; Optimization ; Uncertainty ; Electric Motor Vehicles ; Distributed Energy Resorurces (DER) ; Wind Energy

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