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Harnessing ramp capability of spinning reserve services for enhanced power grid flexibility

Khoshjahan, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TIA.2019.2921946
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Flexible ramping product (FRP) has been recently launched in a number of electricity markets to enhance the power grid flexibility and accommodate additional deals of uncertainty introduced by renewable energy resources. The FRP procures additional ramp capacities provided by the dispatchable generating units and consumers in the real-time market (RTM) with the aim to enhance the ability of supply to closely follow the net-load at the next immediate time-interval. An important challenge in widespread adoption of this technology is a key question: Does the available energy capacity of the RTM participants contain sufficient ramp capacity to tackle the net-load uncertainties? Indeed, shortage of the systems ramp capacity may not only jeopardize its flexibility, but also may cause drastic fluctuations in the RTM energy prices. To address this challenge, this paper proposes a novel optimization framework to harness the procured spinning reserve services in the day-ahead market (DAM) for FRP provision in the RTM while meeting the system reliability requirements. On this basis, the FRP will be simultaneously procured from the RTM energy and DAM spinning reserve capacities. Furthermore, a new payment mechanism is proposed to compensate the portion of spinning reserve utilized for FRP procurement in the RTM. The proposed framework is simulated on the IEEE 118-bus test system and the results verify its effectiveness in modern electricity markets. © 1972-2012 IEEE
  6. Keywords:
  7. Electricity market ; Power markets ; Renewable energy resources ; Wind ; Flexibility ; Flexible ramping product (FRP) ; Optimization framework ; Payment mechanism ; Ramp capability ; Spinning reserve service ; Spinning reserves ; System reliability ; Electric power transmission networks
  8. Source: IEEE Transactions on Industry Applications ; Volume 55, Issue 6 , 2019 , Pages 7103-7112 ; 00939994 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8733851