LAPSE:2023.19747
Published Article
LAPSE:2023.19747
Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints
Veeraya Imcharoenkul, Surachai Chaitusaney
March 9, 2023
The maximization of output from variable renewable energy (VRE) sources considering system operational constraints (SOCs) is a traditional method for maximizing VRE generators’ profits. However, in wholesale electricity markets, VRE participation tends to reduce marginal prices (MP) because of its low marginal costs. This circumstance, called the “merit-order effect” (MOE), reduces the generators’ profits. Thus, the traditional method is possibly no longer the best and only method to maximize the generators’ profits. Moreover, the VRE support schemes also affect MP, making MOE more severe. VRE curtailment can relieve MOE, but VRE output must be decreased, thereby reducing the generators’ profits. This paper proposes a method to find the optimal VRE generation schedules that maximize VRE generators’ profits while considering the trade-off among the VRE output, MP, and SOCs. The method combines the merit-order model and the unit-commitment model solved by the optimization tools in MATLAB. Thailand’s electrical system was the test system. The result shows that VRE generators’ profits from the proposed method are significantly higher than from the traditional method when the system has high wind penetration, and the generators have no support scheme. Curtailing approximately 7−10% of wind output can increase the average MP by 23.6−30%.
Keywords
merit-order effect, profit maximization, renewable energy support scheme, system operational constraints, unit-commitment, variable renewable energy
Suggested Citation
Imcharoenkul V, Chaitusaney S. Optimal Variable Renewable Energy Generation Schedules Considering Market Prices and System Operational Constraints. (2023). LAPSE:2023.19747
Author Affiliations
Imcharoenkul V: Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Chaitusaney S: Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Journal Name
Energies
Volume
14
Issue
17
First Page
5320
Year
2021
Publication Date
2021-08-27
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14175320, Publication Type: Journal Article
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doi:10.3390/en14175320
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