Optimization Model and Algorithm of Unit Commitment Considering Operational Flexibility

To improve the operational flexibility of power system with wind power integrated, a method of unit commitment decision-making based on scenario analysis is proposed. The typical scenario set of wind power output is obtained via K-medoids clustering method, and the size of scenario set is determined...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu, Yibin, Lou, Xiansi, Chen, Zhe, Guo, Chuangxin, Zhang, Lizong, Yang, Caiming
Format: Conference Proceeding
Language:English
Subjects:
improved Benders decomposition
Indexes
Load flow
operational flexibility
Optimization
power flow limit violation
Probability distribution
scenario analysis
scenario typicality evaluation
unit commitment
Wind farms
Wind forecasting
Wind power generation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To improve the operational flexibility of power system with wind power integrated, a method of unit commitment decision-making based on scenario analysis is proposed. The typical scenario set of wind power output is obtained via K-medoids clustering method, and the size of scenario set is determined according to the typicality evaluation indices. With economy and flexibility as the objective, a unit commitment model combined with multi-scenario economic dispatch is formulated. To enhance the solution efficiency, an improved Benders decomposition method with light tolerance of power flow limit violation is proposed, which reduces the dimensions of the constraint matrix. The case study illustrates the effectiveness of the proposed model and algorithm for operation optimization.
ISSN:1944-9933
DOI:10.1109/PESGM.2018.8586484