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Risk-Based networked-constrained unit commitment considering correlated power system uncertainties

Ghorani, R ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/TSG.2019.2943311
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. The forecast errors for distributed energy resources (DERs) and hourly demands have contributed to power system uncertainties and additional risks in the day-ahead scheduling of electricity markets. In this paper, a risk-based approach is introduced to determine the stochastic solution of network-constrained unit commitment (NCUC) when additional uncertainties are embedded in the power system scheduling. The historical power market transaction data are used to model nodal injection uncertainties and reserve capacity requirements are considered to assess the solution of the risk-based NCUC. The proposed NCUC problem is formulated as a single-stage second order cone program which is a convex algorithm. The proposed approach provides an efficient solution for large-scale stochastic problems and helps accommodate the DER variabilities in secure and economic operations of power systems. The proposed stochastic algorithm is tested and the results are analyzed for the IEEE RTS-96 and IEEE 300-bus test systems. © 2019 IEEE
  6. Keywords:
  7. power system uncertainty ; Risk-based network-constrained unit commitment (NCUC) ; Energy resources ; Risk assessment ; Scheduling ; Stochastic systems ; Uncertainty analysis ; Distributed Energy Resources ; Power system scheduling ; Risk based approaches ; Second order cone programs ; Second-order cone programming ; Stochastic algorithms ; System uncertainties ; Unit-commitment ; Power markets
  8. Source: IEEE Transactions on Smart Grid ; Volume 11, Issue 2 , 2020 , Pages 1781-1791
  9. URL: https://ieeexplore.ieee.org/document/8847345