Simulation of Time-Sequence Operation Considering DC Utilization Hours of New Energy Base in Desert and Gobi Area
Pengcheng Yuan,
Kun Ding,
Yalu Sun,
Xiang Wang,
Jinyan Wang and
Haiying Dong ()
Additional contact information
Pengcheng Yuan: College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Kun Ding: Grid Gansu Electric Power Company, Lanzhou 730070, China
Yalu Sun: Grid Gansu Electric Power Company, Lanzhou 730070, China
Xiang Wang: Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610213, China
Jinyan Wang: College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Haiying Dong: College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Energies, 2024, vol. 17, issue 17, 1-20
Abstract:
Direct current power transmission is a crucial method for consuming new energy in desert and Gobi regions. Given the issue of the inefficient use of transmission channels, this study develops a simulation model for the operational time sequence of new energy bases in these areas. The model integrates factors such as hours of DC power transmission, environmental impacts, economic considerations, and operational flexibility. Initially, the model addresses the significant variability and unpredictability of wind and solar energy in these regions by introducing an analysis method combining Gaussian Kernel Density Estimation (GKDE) with a Gaussian Mixture Model (GMM). Subsequently, a flexible DC power transmission operational model is formulated, taking into account different DC transmission modes. The model’s efficiency is enhanced by employing the Dung Beetle Optimization algorithm with nondominated sorting to minimize variable ranges and expedite solution times. The model’s effectiveness is demonstrated through a simulation applied to a new energy base in Gansu Province, Northwest China, confirming its validity.
Keywords: direct current power transmission mod; hours of direct current power transmission utilization; new energy transmission and consumption; simulation of time-sequence operation (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: 2024
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