Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power

Rasoul Azizipanah-Abarghooee, Faranak Golestaneh, Hoay Beng Gooi, Jeremy Lin, Farhad Bavafa, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

We propose a probabilistic unit commitment problem with incentive-based demand response and high level of wind power. Our novel formulation provides an optimal allocation of up/down spinning reserve. A more efficient unit commitment algorithm based on operational cycles is developed. A multi-period elastic residual demand economic model based on the self- and cross-price elasticities and customers’ benefit function is used. In the proposed scheme, the probability of residual demand falling within the up/down spinning reserve imposed by n − 1 security criterion is considered as a stochastic constraint. A chance-constrained method, with a new iterative economic dispatch correction, wind power curtailment, and commitment of cheaper units, is applied to guarantee that the probability of loss of load is lower than a pre-defined risk level. The developed architecture builds upon an improved Jaya algorithm to generate feasible, robust and optimal solutions corresponding to the operational cost. The proposed framework is applied to a small test system with 10 units and also to the IEEE 118-bus system to illustrate its advantages in efficient scheduling of generation in the power systems.

Original languageEnglish
Pages (from-to)634-651
Number of pages18
JournalApplied Energy
Volume182
DOIs
Publication statusPublished - 15 Nov 2016
Externally publishedYes

Keywords

  • Chance-constrained programming
  • Cycle based on/off
  • Improved Jaya algorithm
  • Incentive-based demand response program
  • Unit commitment
  • Wind energy

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