What is it about?

Security-constrained unit commitment (SCUC) is a key component of operating electricity markets. By increasing the share of renewable energies on the generation side, and emergence and growth of new stochastic loads on the demand side, stochastic SCUC has become more important for secure-optimal operation of the market. Scenario-based techniques have been suggested widely for stochastic SCUC in the literature. However, they are usually very time-consuming. This problem is escalated in large-scale power systems with high penetration of stochastic generation and loads. To mitigate the computational burden of SCUC problem, this paper develops an algorithm, based on point estimation method and Bender’s decomposition technique. The proposed approach breaks the probabilistic problem into a few deterministic points with much lower computation burden yet with minimal loss of accuracy. The proposed approach is implemented on a six-bus system as the first numerical study, and on a modified IEEE 118-bus system with 94 probabilistic variables as the second case study. The efficacy of proposed algorithm is confirmed, especially in the last test case with notable reduction in computational burden without considerable loss of precision.

Featured Image

Why is it important?

• Proposing a new algorithm for stochastic security-constrained unit commitment problem using two point estimation method • Different uncertainties such as variable loads and volatile wind power generations are modeled • Efficiency and capability of the proposed method are investigated • A large number of uncertainties are considered in order to evaluate the proposed method in a large-scale system with multiple uncertainties • Two indices are defined to evaluate the ability of the proposed method in order to eliminate negative effects of uncertainties

Read the Original

This page is a summary of: Fast stochastic security-constrained unit commitment using point estimation method, International Transactions on Electrical Energy Systems, June 2015, Wiley,
DOI: 10.1002/etep.2107.
You can read the full text:

Read

Contributors

The following have contributed to this page