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Article type: Research Article
Authors: Meng, Junxiaa; * | Deng, Hanjunb | Yu, Minqib | Yang, Shuaib | Tan, Huanga | Chen, Hongyina
Affiliations: [a] China Electricity Power Research Institute, Beijing, China | [b] Power Supply Service Center of State Grid Hunan Electric Power Co., Ltd. (Metering Center), Changsha, Hunan, China
Correspondence: [*] Corresponding author: Junxia Meng, China Electricity Power Research Institute, Beijing 100000, China. E-mail: [email protected].
Abstract: Day-ahead scheduling strategy is an effective way to improve the renewable energy accommodation. To increase the renewable energy accommodation in the regional power grids, reduce the total costs of the power system, and improve the supply reliability of the power system, this research suggests a multi-time-scale “source-storage-load” coordinated dispatching strategy that considers the distribution and characteristics of pumped energy storage and loss of the network. Taking the wind curtailment penalty costs, the system operating costs, and the load loss penalty costs as the objective functions, a day-ahead coordinated scheduling strategy for source storage and load considering demand response and lines loss is established. Finally, the commercial software package CPLEX is called through the MATLAB platform to complete the optimization of mixed integer programming. Simulation results shows that the proposed scheduling strategy could build the power generation plant, effectively adjust the output power of pumped storage, and regulate the assumption of translationable load and transferable load.
Keywords: Day-ahead coordinated scheduling strategy, line loss, source-storage-load, CPLEX, renewable energy
DOI: 10.3233/JCM-247171
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 1, pp. 37-49, 2024
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