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Robust Scheduling of Flexible Units in Real-time Market Considering Demand Response Effects

Heidarabadi, Houman | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50122 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hosseini, Hamid
  7. Abstract:
  8. With the expansion of renewable energy resources in power systems, due to the uncertainty with the output power of these power plants, there is a price sparks and load curtailment for some hours. One of the most important reasons for this sparks is the limited ability of units to provide unexpected changes in net load; on the other hand, the retirement of units with flexible thermal capacity, this liability in providing net load changes is more visible than before, because of the limited in ramprate of power plants at a specified time interval. For this reason, some of the independent system operators (ISO) have introduced various strategies to increase the system's flexibility to provide unpredictable changes and encourage investors to foundation fast units (such as hydro and gas plants). We have used two different strategies for scheduling fast units in two separate studies. In the first study, we present a new model for scheduling flexible ramp of fast units considering the effect of demand response. In this study, in addition to the net load, the total flexible ramp requirements (upward and downward) for the subsequent intervals is also considered uncertain. This model has been applied to a simple power system, regardless of the constraints of the transmission lines, and its results indicate a definite decrease in the load and a price spark in the subsequent intervals. In the second study, we have used the multi-period market clearing to increase the network flexibility, and the important part of this study is to consider the full network constraints (ACOPF). This model has been tested on a 118-bus IEEE test network; the simulation results indicate that the worst case achieved for uncertainties is different from the conventional DCOPF method
  9. Keywords:
  10. Benders Decomposition ; Robust Optimization ; Demand Response ; Duality Theory ; Power Market ; Flexible Ramping Product (FRP) ; Quadratic Convex Relaxation

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