LAPSE:2020.0163
Published Article
LAPSE:2020.0163
A Two-Stage Optimal Scheduling Model of Microgrid Based on Chance-Constrained Programming in Spot Markets
Jiayu Li, Caixia Tan, Zhongrui Ren, Jiacheng Yang, Xue Yu, Zhongfu Tan
February 3, 2020
Aimed at the coordination control problem of each unit caused by microgrid participation in the spot market and considering the randomness of wind and solar output and the uncertainty of spot market prices, a day-ahead real-time two-stage optimal scheduling model for microgrid was established by using the chance-constrained programming theory. On this basis, an improved particle swarm optimization (PSO) algorithm based on stochastic simulation technology was used to solve the problem and the effect of demand side management and confidence level on scheduling results is discussed. The example results verified the correctness and effectiveness of the proposed model, which can provide a theoretical basis in terms of reasonably coordinating the output of each unit in the microgrid in the spot market.
Keywords
chance-constrained programming, demand side management, microgrid, spot markets
Suggested Citation
Li J, Tan C, Ren Z, Yang J, Yu X, Tan Z. A Two-Stage Optimal Scheduling Model of Microgrid Based on Chance-Constrained Programming in Spot Markets. (2020). LAPSE:2020.0163
Author Affiliations
Li J: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Tan C: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Ren Z: Power Generation Department, Fujian Yongfu Power Engineering Co., Ltd., Fuzhou 350108, Fujian, China
Yang J: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yu X: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Tan Z: School of Economics and Management, North China Electric Power University, Beijing 102206, China; School of Economics and Management, Yan’an University, Yan’an 716000, Shanxi, China
Journal Name
Processes
Volume
8
Issue
1
Article Number
E107
Year
2020
Publication Date
2020-01-14
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8010107, Publication Type: Journal Article
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LAPSE:2020.0163
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doi:10.3390/pr8010107
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Feb 3, 2020
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CC BY 4.0
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Feb 3, 2020
 
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Calvin Tsay
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