Robust Unit Commitment With the Consideration of the Generator Prohibited Zones Under the Penetration of Wind Power
Release time:2018-06-05
Hits:
- Indexed by:
- Journal paper
- First Author:
- Mingyu Yan
- Correspondence Author:
- Xiaomeng Ai
- Co-author:
- Yipu Zhang,Kangan Shu,Wei Gan,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei Province, China
- Journal:
- Proceedings of the CSEE
- Included Journals:
- EI
- Place of Publication:
- China
- Discipline:
- Engineering
- First-Level Discipline:
- Electrical Engineering
- Funded by:
- 国家自然科学基金项目(51707070); 中国博士后科学基金资助项目(2016M590693)
- Document Type:
- J
- Volume:
- 38
- Issue:
- 11
- Page Number:
- 3195-3203
- ISSN No.:
- 0258-8013
- Key Words:
- wind power, generator prohibited zones, robust unit commitment, column-and-constraint generation (CC&G), nested column-and-constraint generation (NC&CG);
- DOI number:
- 10.13334/j.0258-8013.pcsee.171138
- Date of Publication:
- 2018-06-05
- Impact Factor:
- 6.176
- Abstract:
- Due to the existence of the generator prohibited zones, generator can’t be operated in some output intervals. If the prohibited zones are not considered in the day-ahead dispatch with the penetration of wind power, which may result in an inaccurate unit commitment plan. Therefore, the two-stage robust unit commitment with the consideration of the generator prohibited zones and the uncertainty of wind power was proposed. Since the proposed problem is a large-scale nonconvex and nonlinear stochastic optimization problem which is hard to be solved directly, binary variables were adopted to recast the model to a mixed integer linear optimization (MILP) problem. Since binary variables are involved in the second stage problem, the Karush-Kuhn-Tucker (KKT) condition can’t be applied directly. To solve this problem, two-level column-and-constraint generation (CC&G) method were proposed. The outer level is the conventional CC&G method. The inner level is the nested CC&G method, which aims at finding the worst scenario. Acceleration strategies were utilized to improve the inner level computing speed. The proposed model was tested on IEEE RTS79 system, and the results show the validity of the proposed model and solution method.
- Links to published journals:
- http://www.pcsee.org/x_iA9ig181GiGW7b5ocZwfpDC%2BJv1ngHEJDv1fWfcu6KoGV1FzfWWZZ3Yh5oqjSn?encrypt=1