Dynamic Economic Dispatching Considering Time-Coupling Spinning Reserve Response Risk with High Penetration of Wind Power
Younan Pei (),
Xueshan Han (),
Pingfeng Ye,
Yumin Zhang and
Lihong Zhang
Additional contact information
Younan Pei: Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China
Xueshan Han: Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China
Pingfeng Ye: College of Energy Storage Technology, Shandong University of Science and Technology, Qingdao 266590, China
Yumin Zhang: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
Lihong Zhang: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
Energies, 2022, vol. 15, issue 21, 1-16
Abstract:
Aiming at the problem that the current dynamic economic dispatch (DED) fails to consider the response risk of spinning reserve caused by the fluctuation and uncertainty of wind power, we work out a DED problem considering time-coupling spinning reserve response risk while the stochasticity and variability arising from RESs are taken into consideration. The developed framwork unified the response risk of reserve caused by forced shutdown of the unit into the response risk caused by time coupling. The expected customer interruption cost (ECOST) and the expected abandoned wind cost considering this reserve response risk are added to the objective function. While seeking the minimum objective function, the system is automatically configured with suitable reserve to ensure the consistency of the system’s response risk in each period. An improved multi-universe parallel quantum genetic algorithm was used to solve the model. Numerical examples and analysis prove the effectiveness and feasibility of the proposed method.
Keywords: dynamic economic dispatch; multi-universe parallel quantum genetic algorithm; power system; response risk; spinning reserve (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/7831/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/7831/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:21:p:7831-:d:950261
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().