Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

By Lei Wu, Mohammad Shahidehpour, Zuyi Li. IEEE Transactions on Power Systems, 2012

305 citations recorded by the source corpus.

This paper compares applications of scenario-based and interval optimization approaches to stochastic security-constrained unit commitment (Stochastic SCUC). The uncertainty of wind power generation is considered in this study to compare the two approaches, while other types of uncertainty can be addressed similarly. For the simulation of uncertainty, the scenario-based approach considers the Monte Carlo (MC) method, while lower and upper bounds are adopted in the interval optimization. The Stochastic SCUC problem is formulated as a mixed-integer linear programming (MIP) problem and solved using the two approaches. The scenario-based solutions are insensitive to the number of scenarios, but present additional computation burdens. The interval optimization solution requires less computation and automatically generates lower and upper bounds for the operation cost and generation dispatch, but its optimal solution is very sensitive to the uncertainty interval. The numerical results on a six-bus system and the modified IEEE 118-bus system show the attributes of the two approaches for solving the Stochastic SCUC problem. Several convergence acceleration options are also discussed for overcoming the computation obstacles in the scenario-based approach.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/f1ee305a8d631b326754ef92c4fcd5e202ab691b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Chongqing Kang
2. Qing Xia
3. Shiyan Hu
4. Xiaodao Chen
5. Rongfu Sun
6. Yi Ding
7. Ning Zhang
8. Yuehui Huang

In Safety, Risk, Reliability and Quality

1. Chongqing Kang
2. Qing Xia
3. Rongfu Sun
4. Yi Ding
5. Ning Zhang
6. Yuehui Huang
7. Jianhua Bai
8. Jun-hui Huang

Citations in the corpus

• A Convex Model of Risk-Based Unit Commitment for Day-Ahead Market Clearing Considering Wind Power Uncertainty (2015, background): “Various unit commitment (UC) models have been proposed and can be generally divided into four categories based on the manner in which they address the uncertainty, namely, scenario-based stochastic programming [7]–[12], robust optimization [13]–[18], chance-constrained optimization [19]–[22] and ris”
• Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home (2013, background): “Caron and Kesidis [20] proposed a dynamic pricing scheme incentivizing consumers to achieve an aggregate load profile suitable for utilities.”