Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty
Min Xu,
Wanwei Li,
Zhihui Feng,
Wangwang Bai,
Lingling Jia and
Zhanhong Wei ()
Additional contact information
Min Xu: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Wanwei Li: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Zhihui Feng: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Wangwang Bai: Economic Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
Lingling Jia: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Zhanhong Wei: College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Energies, 2023, vol. 16, issue 4, 1-20
Abstract:
To solve the problem regarding the large-scale grid-connected consumption of a high proportion of new energy sources, a concentrating solar power (CSP)-photovoltaic (PV)-wind power day-ahead and intraday-coordinated optimal dispatching method considering source load uncertainty is proposed. First, the uncertainty of day-ahead wind power output prediction is described by the multi-scenario stochastic planning method, and the uncertainty of intraday source-load is characterized by the trapezoidal fuzzy number equivalence model. Second, based on the combined scenario set of day-ahead wind power output prediction, the day-ahead optimal dispatch is performed by combining thermal and CSP plants, and the day-ahead thermal and CSP plant dispatch output and intraday source load fuzzy dataset are used as the input quantities for the day-ahead dispatch. Thus, the scheduling output and rotating backup plan for thermal power and CSP plants were determined; finally, the validity and feasibility of the model were verified using arithmetic examples.
Keywords: new energy consumption; multiple time scale; uncertainty; two-level optimal (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:4:p:1696-:d:1062006
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